Project Proposal Simple Linear Regression Project

PROJECT PROPOSAL Fall 2014 / IE 5318 (APPLIED LINEAR REGRESSION) Dr. VICTORIA CHEN STUDENT NAME(S): PROJECT NAME: SIMPLE LINEAR REGRESSION PROJECT I) PROJECT-PROPOSAL: ABSTRACT: We have considered the NBA statistics for the year 2013. We here perform an analysis to find the response of variables when different predictor variables are chosen. Here, we make observations corresponding to 38 players in the year 2013. The data set we have chosen includes: Predictor variables: X1 –Total minutes played. X2 – Number of Field goals made X3 – Number of Field throws made X4 – Number of Rebounds. Response Variables: Y – Total points scored in the year 2013 by 38 players. The reason for analyzing this data is to check the way the plots change for different predictor variables and to check the normality, linearity of the model etc. in such a way that it exhibits easy understanding. For the chosen data, we establish a relationship between the predictor variables and the Points scored (Response Variable). This helps any person to estimate the points scored at any point of time for a chosen predictor variable. DATA SET ANALYSIS: We here consider 38 observations and we plot the predictor variables against points scored. PLOT 1 : POINTS SCORED VS MINUTES PLAYED: X1 – Total minutes played (Predictor Variable); Y – Total points scored (Response Variable) PLOT 2: POINTS SCORED VS FIELD GOALS MADE: X2 – Number of Field goals made (PredictorShow MoreRelatedEvaluation Of A Non Independent Variable, Dependent Variable And A Mediator On The Student s Sleep Quality Rating Essay1618 Words   |  7 Pagestermed â€Å"Qualtrics.† The incentive to take this questionnaire and complete it accurately was eight points worth of extra credit awarded to students who did so. 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