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Data Analysis: Assignment

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Added on  2020-03-23

Data Analysis: Assignment

   Added on 2020-03-23

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Running head: DATA ANALYSIS Data Analysis Name of the Student:Name of the University:Author Note:
Data Analysis: Assignment_1
DATA ANALYSIS 1Table of ContentsQuestion 1...................................................................................................................................................2Question 2...................................................................................................................................................9Part a)......................................................................................................................................................9Part b)....................................................................................................................................................10Part c)....................................................................................................................................................13Part d)....................................................................................................................................................14Bibliography:.............................................................................................................................................15
Data Analysis: Assignment_2
DATA ANALYSIS 2Question 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 0.8868 Coefficients: 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 Analysis: Assignment_3
DATA ANALYSIS 3F-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 linear relationship between the values First Year GPA and Undergraduate GPA. The larger value of F-statistic than the p-value interprets that the null hypothesis of assuming the linear relationship between these two factors is not accepted. The box plot of the students who have GPA less than 3 at the end of 2 years course of Undergraduate:
Data Analysis: Assignment_4

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