Sunday, December 29, 2019

The Impact Of Media On Society s Society - 1772 Words

Introduction: Media has played an instrumental role in shaping society especially Canadian society. There are many types of stream in media that has allowed Canadians to have a sense of closeness with their community and the country. A type of media that exemplifies this is the news. The news plays a crucial role informing the public about certain events that are happening around individuals’ lives and how these types of news are affecting them. In addition to that, the news also provides an entertainment purpose, which sometimes allows individuals to use as way to distract themselves with what is happening in their lives, but most importantly news allows individuals to feel connected to what is happening around them. News plays a†¦show more content†¦Media specifically plays an instrumental role in shaping democratic society by influencing engagement. Even today with changes to modern technological advancement it is clear that local media is changing from traditional to non-traditional media in order to engage with the younger generation similarly in politics. For example, in 2007 a Canada Online survey provided a comprehensive and up to date description of the media habits of Canadians. â€Å"According to Zamaria and Fletcher (2008), the 2007 telephone survey conducted with 3150 Canadians 12 years and older reveals that ‘‘the Internet, technology and traditional media continue to be extremely important in the everyday lives of a majority of Canadians’’ (5). The key findings from the study are that traditional media use is very high; 95% of respondents reported watching the television, 86% listen to the radio, and 78% read newspapers (118). Television dominates these in time spent using the media. Respondents indicated spending more than 10 h/week watching television, but only 8.5 h/week listening to the radio and a mere 2.6 h/week reading the newspaper† (O’Neill, 2010). The evidence presented here demo nstrates that Canadian consume retaining information for advance technology such as Internet as the younger generation use this typeShow MoreRelatedThe Impact Of Media On Society s Society1375 Words   |  6 Pagesto be, a relevant issue in our society. While racism is not as prevalent as it was in the 1860’s, it is not any less significant. The relevance of racism today can partially be blamed on how the media portrays race. Media comes in all forms; print media, broadcast media, social media, etc. Each of these forms play an important role in our society. Media is the main communicator in today’s society. Society looks to media for information. This is a problem because media does not always have the properRead MoreMedia s Impact On Society956 Words   |  4 PagesThe media, or communication outlets, has a huge part in the racial divide, prejudices, oppressions and discriminations in America. These outlets include newspapers, television, internet, and/or radio. Ove r the recent years, stereotyping and discrimination has been greatly enhanced by media outlets. Even though the media has enhanced these harmful issues, the media can improve all of the factors by making changes to how they portray different races and ethnicities. â€Å"The media can influence peopleRead MoreMedia s Impact On Society1098 Words   |  5 PagesThe media industry is the state of our actuality. Society expects for the news to keep them informed on what is going on around the world. There are several different kinds of media; there is the newspaper, radio, and television. Each category has its own different stage that has modeled the media to be as influential as it is in society today. Along with all other forms of media, newspapering has played a huge role in the way society view the media industry. Through time many changes have occurredRead MoreThe Media s Impact On Society951 Words   |  4 Pagesface because of their gender. The comment section of this vide o is erratic; the viewers often have conflicting views about the meaning of the video as well as whether or not it was successful in its purpose. One thing is for sure, the video makes an impact by using several rhetorical devices including word choice, pathos and logos; all which separate it from other pro-feminism videos that exist. FCKH8.com’s video made an abundance of creative decisions that made each of its viewers have an intenseRead MoreMedia s Impact On Society920 Words   |  4 PagesIntroduction The media industry is the state of our actuality. There are several different kind of media; there is the newspaper, radio, and television. Each category has its own different stage that has modeled the media to be as influential as it is in society today. Along with all other forms of media, newspapering has played a huge role in the way society view the industry. Through time many changes have occurred, are occurring, and will continue to develop in the future. The media has an immenselyRead MoreSocial Media s Impact On Society1515 Words   |  7 Pagestoday’s society not all people welcome social media into their lives and thus restrict their access and or involvement when it comes to the abundances of social media outlets. However, social media has indeed taken the lives of our children, adolescents, and families by the collar. Social media plays a pivotal part affecting everyday life as we know it today. Despite these claims, the advancements in technology have evol ved, thus creating a society that thrives on the dependency of social media outletsRead MoreMedia s Impact On The American Society2784 Words   |  12 PagesAmerican society is presented information over a wide range of events that we encounter in life throughout the history of the United States on account of media. Media presents ongoing information within the boundaries of the United States in addition to foreign affairs believed to be significant to the American public. The media has a massive influence and impact on the American society covering certain events that are taking place all over the world. However, sometimes media only covers one sideRead MoreThe Impact Of Media On Women s Society2399 Words   |  10 PagesDissertation – Chapter 1 What impact does the media have on females in todays society? Mass media shapes the world and the ‘perfect’ female is depicted through magazines, TV, music, internet, billboards, toys, movies, commercials etc. on a daily basis, impacting women and girls on how to perceive their own bodies, how to look and how to behave. Beauty standards have changed throughout the decades, even centuries, and has always placed immense pressure on females. From 1400s-1700s, an overweightRead MoreSocial Media s Impact On Society1260 Words   |  6 Pagesmajor key in our society; such as Instagram, Twitter, and Snapchat. These apps were as another form of social media. It had opened a whole new world for people twelve and older; enabling them to share and memories, stories, and updates of their lives to their â€Å"followers†. Moreover, this way of sharing your life with others had brought in keen, automatic listeners. Which inevitably had also spread awareness like wildfire; the good or bad news. Nonetheless, this form of social media had an immense effectRead MoreMedia And Its Impact On Society s Picture Essay1365 Words   |  6 PagesIcon based endorsements are no more confined to customary fight and thus youth commonly change channels amid ads. Games symbol s picture is the significant deciding element that oversees the organization s item advancement and the shopper s buy choice. Sports legends have ended up mindful of their picture in embracing a brand and this thusly has praised their fame in the midst of youth (Brilliant Barry 2010). The social change includes by the administration peculiarities sports symbols that go

Saturday, December 21, 2019

Hamlet Character Analysis - 778 Words

Mackenzie Sullivan English 202 Online 11/1/2017 Not All Heroes Wear Capes Many view Hamlet, the main character, in Shakespeare’s tragedy Hamlet as a hero. He portrays characteristics that prove to the reader that he does possess heroic qualities. Although, it is a struggle for him throughout the play, but as he goes through life and learns new ways of coping things, he develops new characteristics that he didn’t have in the beginning. Hamlet learns to overcome his anxiety, depression, and anger. In the end, he learns how to be calm and collected. The way Hamlet learns how to handle internal conflicts throughout the play, shows the readers a realistic view of the difficult encounters one may have when learning to cope with different†¦show more content†¦He destroyed Ophelia with cruelty and harshness. He began saying hurtful things the Ophelia such as, â€Å"I have heard of your paintings well enough, God hath given you one face, and you make yourselves another: you jig, you amble, and you lisp, you nick-nam e Gods creatures, and make your wantonness your ignorance† (ACT III, i). Not only is he being harsh with his words, but he disrespects her. Hamlet changes the way he acts towards Ophelia, â€Å"Hamlet: Lady, shall I lie in your lap? Ophelia: No, my lord. Hamlet: I mean, my head upon your lap? Ophelia: Ay, my lord. Hamlet: Do you think I meant country matters? Ophelia: I think nothing, my lord. Hamlet: Thats a fair thought to lie between maids legs† (ACT III, ii). Hamlet had the conversation with Ophelia because he desires sexual intimacy with her. He has a disrespectful behavior trying to use her to which only prolongs his insanity. Hamlet over thinks every situation which makes him angrier as the thoughts race through his mind. Claudius is the main cause of this issue. Claudius’ and Gertrude’s actions have ruined Hamlet’s faith in humanity, and he even contemplates suicide. He says, I do not set my life at a pins fee (ACT I, iv). In his soliloquy he says, â€Å"...To die; to sleep, No more, and by a sleep to say we end the heart-ache, and the thousand natural shocks that flesh is heir to; tis a consummation devoutly to be wishd.Show MoreRelatedAn Analysis of the Characters in Hamlet Essay1592 Words   |  7 PagesAn Analysis of the Characters in Hamlet Hamlet by William Shakespeare has been considered by many critics as one of the best plays in English literature. It has also been considered as one of the best tragedies among the many Shakespeare wrote. It is a story which revolves around this person called Hamlet, prince of Denmark. It is set in the Elizabethan times in the 16th century. It is a tragedy because it results in the deaths of many characters either accidentallyRead MoreHamlet Character Analysis Essay1014 Words   |  5 PagesNicole Ventzke Crystal Jensen 1102 T/H 2/14/11 Hamlet Character Analysis: Hamlet One aspect that makes William Shakespeare’s Hamlet alluring is how he broke the limiting mold of the one-dimensional character by representing characters in all of their human complexity. Hamlet, for example, is a compelling character because he is complicated. As Hamlet himself observes early in the play in, â€Å"Tis not alone my inky cloak/nor customary suits of solemn black, /Nor†¦forced breath/No, nor the fruitfulRead MoreCharacter Analysis Of Hamlet1065 Words   |  5 Pageswill be explaining where and when Hamlet talks about certain characters, to help explain how he thinks about them (ex: King Hamlet, Claudius, and Gertrude). This essay will help to explain Hamlet as well as his thought process throughout the book (story). In Act 1, Scene 2 (Gertrude) (Lines 141-145) Quote â€Å"That he might not beteem the winds of heaven Visit her face too roughly.—Heaven and earth, Must I remember?† In this first part from line 141 to 143 Hamlet says â€Å"Oh God, do I have to rememberRead MoreThe Analysis of the Character Ophelia on Hamlet Essay1297 Words   |  6 PagesIn William Shakespeare’s Hamlet, Ophelia is the most static character in the play. Instead of changing through the course of the play, she remains suffering in the misfortunes perpetrated upon her. She falls into insanity and dies a tragic death. Ophelia has issues surviving without a male influence, and her downfall is when all the men in her life abandon her. Hamlet’s Ophelia, is a tragic, insane character that cannot exist on her own. In Elizabethan times, Ophelia is restricted as a woman. SheRead MoreHamlet Character Analysis Essay1408 Words   |  6 Pagesout at the bond of brotherhood with a lethal blow is to tear at the foundations of an entire family, as members scramble in reaction to the completely distorted dynamic. The Bard’s magnum Opus, Hamlet, attempts to deal with the effects of such a blow after Claudius, the proverbial Cain, slays King Hamlet, the stand in for Abel. However, the familial relations affected are significantly more complicated, being elevated to the political stage and invlovling a perverted inscet. Furthermore, after killingRead MoreAnalysis of Ophelias Character in Shakespeares Hamlet Essay1159 Words   |  5 PagesIn the English play Hamlet, Shakespeare incorporates deep analytical thought in his writing by the use of character, symbolism, and motifs. Specifically, readers can find these characteristics through analytical reading of the character Ophelia. While initially r eading the story, Ophelia represents a character that is typical of the women in the 1600s, one who is too submissive and directed by the people around her. First impressions of Ophelias character seem much too simplistic- one that is emotionallyRead MoreEssay about A Character Analysis of Hamlet1897 Words   |  8 PagesHamlet fascinates many readers and the first thing to point out about him is that he is mysterious. Shakespeares work demonstrates Hamlets dilemma as the role of revenger showing a man of thought forced to be a man of action. Hamlet is extremely philosophical and introspective. He is particularly drawn to difficult questions or questions that cannot be answered with any certainty. Faced with evidence that his uncle murdered his father, Hamlet becomes obsessed with proving his uncles guilt beforeRead MoreCritical Analysis of Hamlet: Character Analysis and the Themes of Revenge and Manipulation1851 Words   |  8 PagesThe play Hamlet is a text that despite its age and Elizabethan linguistic style is still resoundingly relevant to today’s modern audience due to its ability to move past time related contextual barriers and capture the universality of the human condition with its infinite confusion as evident in the character of Prince Hamlet, its ability to influence and manipulate as well as its reaction to such manipulation, revenge. The character of Hamlet himself is very relatable today especially to youngRead MoreCharacter Analysis of Gertude in Shakespeares Hamlet607 Words   |  2 PagesI do believe that Gertrude is still a mother to Hamlet as well. Gertrude’s care for Hamlet is evident from her first lines in Act 1, wherein she begs Hamlet to â€Å"cast nighted color off† in an attempt to bring him out of two months of mourning. This shows her love for him in that she is concerned about him in his sad state of mourning. In Act 2, Gertrude asks Rosencrantz and Guildenstern â€Å"instantly to visit too much changed son† in order that they might discover the cause of his seeming insanity. ThisRead MoreCharacter Analysis of Ophelia in Hamlet by William Shakespeare808 Words   |  3 Pagesidentify with. Of all the characters in the play Hamlet, the one I liked the most is Ophelia. Shakespeare portrayed her beautifully and put all his emotions into Ophelia’s character. Ophelia showed the exact image of the majority of women from my home country. In the play Hamlet, Ophelia was the most innocent, meek, but distraught character. Ophelia was a young, innocent girl, who was spirited and was the age of daydreamers. Her dreams were all about the young prince Hamlet; she believed he was the

Friday, December 13, 2019

Linear Regression Free Essays

Simple linear regression is the statistic method used to make summary of and provide the association between variables that are continues and quantitative ,basically it deals with two measures that describes how strong the linear relationship we can compute in data .Simple linear regression consist of one variable known as the predictor variable and the other variable denote y known as response variable . It is expected that when we talk of simple linear regression to touch on deterministic relationship and statistical relationship, the concept of least mean square . We will write a custom essay sample on Linear Regression or any similar topic only for you Order Now the interpretation of the b0 and b1 that they are used to interpret the estimate regression . There is also what is known as the population regression line and the estimate regression line .This linearity is measured using the correlation coefficient (r), that can be -1,0,1. The strength of the association is determined from the value of r .( https://onlinecourses.science.psu.edu/stat501/node/250). History of simple linear regression Karl Pearson established a demanding treatment of Applied statistical measure known as Pearson Product Moment Correlation .This come from the thought of Sir Francis Galton ,who had the idea of the modern notions of correlation and regression ,Sir Galton contributed in science of Biology ,psychology and Applied statistics . It was seen that Sir Galton is fascinated with genetics and heredity provided the initial inspiration that led to regression and Pearson Product Moment Correlation .The thought that encouraged the advance of the Pearson Product Moment Correlation began with vexing problem of heredity to understand how closely features of generation of living things exhibited in the next generation. Sir Galton took the approach of using the sweet pea to check the characteristic similarities. ( Bravais, A. (1846). The use of sweet pea was motivated by the fact that it is self- fertilize ,daughter plants shows differences in genetics from mother with-out the use of the second parent that will lead to statistical problem of assessing the genetic combination for both parents .The first insight came about regression came from two dimensional diagram plotting the size independent being the mother peas and the dependent being the daughter peas. He used this representation of data to show what statisticians call it regression today ,from his plot he realised that the median weight of daughter seeds from a particular size of mother seed approximately described a straight line with positive slope less than 1. â€Å"Thus he naturally reached a straight regression line ,and the constant variability for all arrays of character for a given character of second .It was ,perhaps best for the progress of the correlational calculus that this simple special case should promulgated first. It so simply grabbed by the beginner (Pearson 1930,p.5). Then it was later generalised to more complex way that is called the multiple regression. Galton, F. (1894),Importance of linear regressionStatistics usually uses the term linear regression in interpretation of data association of a particular survey, research and experiment. The linear relationship is used in modelling .The modelling of one explanatory variable x and response variable y will require the use of simple linear regression approach .The simple linear regression is said to be broadly useful in methodology and the practical application. This method on simple linear regression model is not used in statistics only but it is applied in many biological, social science and environmental research. The simple linear regression is worth importance because it gives indication of what is to be expected, mostly in monitoring and amendable purposes involved on some disciplines(April 20, 2011 , plaza ,).Description of linear regression The simple linear regression model is described by Y=(?0 + ?1 +E), this is the mathematical way of showing the simple linear regression with labelled x and y .This equation gives us a clear idea on how x is associated to y, there is also an error term shown by E. The term E is used to justification for inconsistency in y, that we can be able to detect it by the use of linear regression to give us the amount of association of the two variables x and y .Then we have the parameters that are use to represent the population (?0 + ?1x) .We then have the model given by E(y)= (?0 + ?1x), the ?0 being the intercept and ?1 being the slope of y ,the mean of y at the x values is E(y) . The hypothesis is assumed is we assume that there is a linear association between the two variables ,that being our H0 and H1 we assume that there is no linear relationship between H0 and H1. Background of simple linear regression Galton used descriptive statistics in order for him to be able to generalise his work of different heredity problems .The needed opportunity to conclude the process of analysing these data, he realised that if the degree of association between variables was held constant,then the slope of the regression line could be described if variability of the two measure were known . Galton assumed he estimated a single heredity constant that was generalised to multiple inherited characteristics . He was wondering why, if such a constant existed ,the observed slopes in the plot of parent child varied too much over these characteristics .He realise variation in variability amongst the generations, he attained at the idea that the variation in regression slope he obtained were solely due to variation in variability between the various set of measurements . In resent terms ,the principal this principal can be illustrated by assuming a constant correlation coefficient but varying the standard deviations of the two variables involved . On his plot he found out that the correlation in each data set. He then observe three data sets ,on data set one he realised that the standard deviation of Y is the same as that of X , on data set two standard deviation of Y is less than that of X ,third data set standard deviation of Y is great than that of X . The correlation remain constant for three sets of data even though the slope of the line changes as an outcome of the differences in variability between the two variables.The rudimentary regression equation y=r(Sy / Sx)x to describe the relationship between his paired variables .He the used an estimated value of r , because he had no knowledge of calculating it The (Sy /Sx) expression was a correction factor that helped to adjust the slope according to the variability of measures .He also realised that the ratio of variability of the two measures was the key factor in determining the slope of the regression line . The uses of simple linear regression Straight relapse is a typical Statistical Data Analysis strategy. It is utilized to decide the degree to which there is a direct connection between a needy variable and at least one free factors. There are two sorts of straight relapse, basic direct relapse and different straight relapse. In straightforward direct relapse a solitary autonomous variable is utilized to anticipate the estimation of a needy variable. In numerous straight relapse at least two free factors are utilized to anticipate the estimation of a needy variable. The contrast between the two is the quantity of free factors. In the two cases there is just a solitary ward variable The needy variable must be estimated on a nonstop estimation scale (e.g. 0-100 test score) and the free variable(s) can be estimated on either an all out (e.g. male versus female) or consistent estimation scale. There are a few different suppositions that the information must full fill keeping in mind the end goal to meet all requirements for straight relapse. Basic straight relapse is like connection in that the reason for existing is to gauge to what degree there is a direct connection between two factors. The real contrast between the two is that relationship sees no difference amongst autonomous and subordinate factors while direct relapse does. Specifically, the reason for direct relapse is to â€Å"anticipate† the estimation of the reliant variable in light of the estimations of at least one free factors. When you procure me to do the measurable investigation for your exposition, I ensure that I will utilize the fitting factual tests for your thesis comes about section. I can perform basically any standard measurable examination (utilizing SPSS) and I give on ¬ going factual help to guarantee that you completely see the greater part of the measurements that I regression. How to cite Linear Regression, Papers Linear Regression Free Essays Scatter Plots Linear regression Is a crucial tool In Identifying and defining key elements influencing data. Essentially, the researcher is using past data to predict future direction. Regression allows you to dissect and further investigate how certain variables affect your potential output. We will write a custom essay sample on Linear Regression or any similar topic only for you Order Now Once data has been received this information can be used to help predict future results. Regression is a form of forecasting that determines the value of an element on a particular situation. Linear regression allows us to create formulas to define the effects of a variable. Data analysis Is an Important concept In Improving business results. There Is no reason why we would not use the data to help forecast for the future. The information is available and reliable and will explain the breakdown of the entire business process. Break Even Calculations Break-even calculations are used to denote a firm’s capital structure, to the extent to which fixed Income securities, debt and preferred stock, are used. The operating leverage can be depicted by graphs to demonstrate relevant probability distributions. Break even points are determined by the quantity measurement of operating income (BIT) being equal to zero, which applies that sales revenues are equal to costs. Break-even analysis, from an operational perspective focuses on the choice of processes, which Implies that the two processes have equal costs for a specific level of volume, referred to as the break-even point. To determine how much volume of business a company must do to break-even can be stated in either monetary units or product unit. The linear model that is utilized to conceptualize the processes denotes that the selling price per unit is constant. In other words the banks fixed costs are the predetermined Interest rates, which Is what the banks financial business depends upon. The variable costs remain constant, which refers to costs for labor. Fixed costs remain constant, which are the operation costs that do not change, such as facility operation costs, insurance and taxes on the facility, senior management salaries, and other overhead expenses. How Does this affect our business? If we go back to the topics we discussed during week two, our business, Diamond Banking, was Interested In the correlation between customer account balances and the number of ATM transactions occurring. Business executives for the company should be interested in using both Linear regression models and break even calculations to determine deferent aspects of the business model. We want to use linear regression to compare past data and net profit with current usage and profits gained. As with every business, we want to make sure that the amount of money we put into operating and servicing the Tam’s does not amount to more than the profit we receive from consumers using them. This is where break even calculations would be useful. There are many more examples that we could use in our business practices, both everyday uses, and for yearly comparisons. Graphs, charts and equations models are essential in monitoring and understanding past business successes and failures, and must be used both in current and future annihilation of the business model. How to cite Linear Regression, Papers Linear Regression Free Essays Introduction – Description Linear regression is a basic linear approach used for predictive analysis. It is used to model the relationship between one dependant variable y and one or more independent variable denoted X. It is used to examine two things which are: Whether a set of predictor variables can predict an outcome (dependant) variable. We will write a custom essay sample on Linear Regression or any similar topic only for you Order Now To identify which variables are significant predictors of the outcome variable and how they impact the outcome variable. Simple linear regression is used to examine the relationship between a quantitative outcome (dependant) and a single explanatory (independent) variable. The formula is given by y=?_0+?_1 x+? Where y = estimated dependent, response, outcome variable score, ?_0 = constant, and it estimates the y intercept ?_1 = regression coefficient, and it estimates the slope x= score on the independent, predictor, or explanatory variable. ?= is the unexplained, random, or error component. We can get the values of x and y from a sample and the parameters ?_0 and ?_1 are estimated by using the method of least squares or another method. The resulting estimate of the model is given by y ?=b_0+b_1 xThe symbol y ? – pronounced y hat – refers to the predicted values of the outcome variable y that are associated with values ofx, given the linear model. Since linear regression models depend linearly on their unknown parameters they are easier to fit than models which are not linearly related to their parameters.Given n observations pairs (x_1,y_1),(x_2,y_2 ),†¦,(x_n,y_n), the predicted response on the ith observation is given by y ?_i=b_0+b_1 x_iAnd the random error component will be given by?_i=y_i-y ?_iA line that fits the data â€Å"best† will be one for which the random errors are as small as possible in some overall sense and this is achieved through least squares. The method of least squares chooses the values forb_0, and b_1 to minimize the sum of squared errors.The Sum of Squares Errors (SSE) is given by the following formulaSSE=?_(i=1)^n(y_i-y ?_i)?^2=?_(i=1)^n(y-b_0-b_1 x)?^2 ?The SSE should be kept as minimal as possible in order to get the line of best fit. If the blue line is a regression line (line of best fit) the observations marked in red are assumed to have come as a result of random deviations – marked in green – from the underlying relationship between the response variable (y) and the predictor variable (x). Source: Wikipedia The regression parameters that give minimum error variance are: b_1=(xy-nx ?y ? ?)/(x^2-nx ?^2 ?) and b_0=y ?-b_1 x ?Where,x ?=1/n ?_(i=1)^n?x_i y ?=1/n ?_(i=1)^n?y_i xy=?_(i=1)^n?x_i y_ix^2 =?_(i=1)^nx_i?^2 History of Simple Linear Regression Models Regression through the use of method of least squares was first published by Adrien-Marie Legendre in 1805 in his paper â€Å"New Methods for Determination of the Orbits of Comets†. In 1809 another mathematician Carl Friedrich Gauss published method of least squares in his treatise, â€Å"Theory of the Motion of the Heavenly Bodies Moving About the Sun in Conic Sections,† even though Gauss claimed to have discovered it before Legendre. Both mathematicians used least squares in astronomical observations, to determine the orbits of comets and other planets about the Sun and also relative to the earth. They used the method of least squares to predict the position of comets, based on measurements of the comets’ previous position. Gauss published a development of the least squares which included the Gauss Markov theorem. The first person to use the term â€Å"regression† was Francis Galton in the 1870s. He used regression to explain a biological phenomenon how â€Å"co-related† trees were to their parents. His findings were published in his 1886 paper Regression Towards Mediocrity in Hereditary Stature. Karl Pearson, Galton’s colleague was the first to link regression with the method of least squares. He discovered that if you plotted the height of parents on the x-axis and their children on the y-axis, resulted in a line of best fit with a slope less than one when using least squares. R. A. Fisher a twentieth century mathematician combined the methods of Gauss and Pearson to develop regression methods as we know it today. Through Fisher’s work, regression analysis is no longer limited to prediction and understanding correlations, but also used to determine the relationship between a factor and an outcome. Over the years regression has developed and it now includes logistic regression, non-parametric regression, Bayesian regression and regression that incorporates regularisation. Regression was used for manageable data sets but through technology and computerisation regression can be done on a large data set in less than a second. Uses of Simple Linear Regression ModelSimple linear regression is a model that can determine the relationship between two variables and how one can impact the other. Once the relationship has been determine and its strength verified a simple linear regression can be used to forecast the dependant variable when an independent variable changes. It can be used to predict trends and future values of a phenomenon. The uses of simple linear regression do overlap in practice. Simple linear regression is used across many fields of study and economy, these include – but not limited to – the following: In business and economics it can be used to determine the effect of marketing and pricing on the sales of a product. It can also be used to predict the consumer behaviour in relation to some changes in the different variables. In car sales industry it can be used to predict the car selling price given the odometer reading for used cars. In agriculture it can be used to predict the yield of crop against the amount of rainfall received in a particular season. In Crime Data Mining it can used predict the crime rate of a provinces based on drug usage, human trafficking, etc. Sports journalist and analysts also use regression to predict future results.These are the few applications where simple linear regression can be used but the list is endless. Generally it can be used to simplify, explain and predict many aspects in life. How to cite Linear Regression, Papers