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A Math Professor Is Trying to Determine If Her Students

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A math professor is trying to determine if her students' math grades are consistent with their grades in three other courses.She has 30 students who are all taking Math,Science,English,and an Elective course.She assigns scores of 4,3,2,and 1 for each grade of A,B,C,and D,respectively.Here's a regression model to predict the math grade based on the other courses:
Dependent variable is: Math
R-squared = 84.4% R-squared (adjusted)= 82.6%
s = 0.3789 with 30 - 4 = 26 degrees of freedom A math professor is trying to determine if her students' math grades are consistent with their grades in three other courses.She has 30 students who are all taking Math,Science,English,and an Elective course.She assigns scores of 4,3,2,and 1 for each grade of A,B,C,and D,respectively.Here's a regression model to predict the math grade based on the other courses: Dependent variable is: Math R-squared = 84.4% R-squared (adjusted)= 82.6% s = 0.3789 with 30 - 4 = 26 degrees of freedom       -Here is a histogram of leverages for this regression:    Without doing any calculating,how would you expect the coefficient and t-statistic of English to change if we were to omit the 6 highest leverage points?
A math professor is trying to determine if her students' math grades are consistent with their grades in three other courses.She has 30 students who are all taking Math,Science,English,and an Elective course.She assigns scores of 4,3,2,and 1 for each grade of A,B,C,and D,respectively.Here's a regression model to predict the math grade based on the other courses: Dependent variable is: Math R-squared = 84.4% R-squared (adjusted)= 82.6% s = 0.3789 with 30 - 4 = 26 degrees of freedom       -Here is a histogram of leverages for this regression:    Without doing any calculating,how would you expect the coefficient and t-statistic of English to change if we were to omit the 6 highest leverage points?
-Here is a histogram of leverages for this regression: A math professor is trying to determine if her students' math grades are consistent with their grades in three other courses.She has 30 students who are all taking Math,Science,English,and an Elective course.She assigns scores of 4,3,2,and 1 for each grade of A,B,C,and D,respectively.Here's a regression model to predict the math grade based on the other courses: Dependent variable is: Math R-squared = 84.4% R-squared (adjusted)= 82.6% s = 0.3789 with 30 - 4 = 26 degrees of freedom       -Here is a histogram of leverages for this regression:    Without doing any calculating,how would you expect the coefficient and t-statistic of English to change if we were to omit the 6 highest leverage points?
Without doing any calculating,how would you expect the coefficient and t-statistic of English to change if we were to omit the 6 highest leverage points?


Definitions:

Guarantor

A person or entity that agrees to be responsible for another's debt or obligations if the original party fails to meet their responsibilities.

Guaranty

A legal commitment by one party to assume responsibility for the debt obligation of a borrower if that borrower defaults.

Suretyship

A contractual agreement where a party (surety) agrees to be responsible for the debt or obligations of another party (principal) if that party fails to fulfill them.

Cosigner

an individual who agrees to be responsible for the repayment of a loan or debt if the primary borrower fails to pay.

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