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Data Analysis: Assignment

Added on - 23 Mar 2020

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Running head: DATA ANALYSISData AnalysisName of the Student:Name of the University:Author Note:
DATA ANALYSIS1Table of ContentsQuestion 1...................................................................................................................................................2Question 2...................................................................................................................................................9Part a)......................................................................................................................................................9Part b)....................................................................................................................................................10Part c)....................................................................................................................................................13Part d)....................................................................................................................................................14Bibliography:.............................................................................................................................................15
DATA ANALYSIS2Question 1The linear regression model between First year GPA and the Undergraduate GPA of MAB:Call:lm(formula = Undergrad.GPA ~ First.Year.GPA, data = result)Residuals:Min 1Q Median 3Q Max-0.8654 -0.2587 -0.0265 0.2495 0.8868Coefficients:Estimate Std. Error t value Pr(>|t|)(Intercept) 1.89323 0.26943 7.027 3.75e-10 ***First.Year.GPA 0.31109 0.07974 3.901 0.000183 ***---Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1Residual standard error: 0.3771 on 91 degrees of freedom(1 observation deleted due to missingness)Multiple R-squared: 0.1433, Adjusted R-squared: 0.1339
DATA ANALYSIS3F-statistic: 15.22 on 1 and 91 DF, p-value: 0.0001831The linear regression model is given by-Undergrad.GPA = 1.89323 + 0.31109* FirstYearGPA.The very little value of multiple R-square (0.1433) shows that there is a very little linearrelationship between the values First Year GPA and Undergraduate GPA. The larger value of F-statisticthan the p-value interprets that the null hypothesis of assuming the linear relationship between these twofactors is not accepted.The box plot of the students who have GPA less than 3 at the end of 2 years course ofUndergraduate:
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