INSTRUCTIONS: 1. This take-home test must be completed alone and submitted electronically via the link provided on iLearn. Please note Macquarie University uses ‘Turnitin’ plagiarism detection...

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Answered Same DayApr 08, 2021

Answer To: INSTRUCTIONS: 1. This take-home test must be completed alone and submitted electronically via the...

Kushal answered on Apr 08 2021
135 Votes
Question 1
Endogeniety happens when the independent variable is hly correlated with the error term in the linear regression equation. Here in this analysis, we are trying to analyse how a student’s GPA is
dependent on his or her roommates or friends and their characteristics. However, one independent variable which is highly correlated to the error term is the student’s own characteristics and hence an endogeneity problem is there.
However, when we student’s own characteristics and its own and ran a regression for GPA is a dependent variable, we are observing that none of the variable has the significance and hence, we need to understand these variables from the regression equation need to be removed.
From what data we have in table-4, we observe that the original analysis holds and we can safely assume that the effect of friends higher study hours will have a significant impact on the GPA of the student and this will be impacted positively since the student will also study for more hours leading to increase in the GPA.
Question 2
This experiment deals with the change in the print sales of a given book in case its digital release has been delayed on Amazon or its kindle version has been intentionally put on hold to increase the sales of print version.
Colum 1 represents the change in the sales of total and amazon print sales. The coefficient of the “Experiment” variable can be used for the same and it is exponential function.
However, from the results we have observed that in the column 1 and column to for the given confidence interval of 1%, we see the p value much more than 0.01 suggests that the variables are ot statistically significant.
For the column 3 and column 4, which suggests the digital sales after the print release and the digital sales after the kindle release respectively, coefficients are negative and significant due to the p value lesser than 0.01, suggests that there is no increase in the sales of the digital and kindle if kindle version has been delayed and rather the sales decrease. Due to the...
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