A data analyst for Gator Dining Services obtained a report of the GPA (X) and average flex bucks spent (Y) for 100 undergraduate students enrolled in a certain meal plan. However, the analyst made a syntactical error in his R code and the regression model of X on Y was fit. A portion of this regression output is given below (with some missing values, A, B and C): Coefficients: (Intercept) Flex Bucks Spent --- Estimate 4.2375 -0.0549 Std. Error 0.2500 0.1232 t-value A B Residual standard error: 0.4743 on C degrees of freedom Multiple R-squared: 0.8116, Adjusted R-squared: 0.7971 F-statistic: 0.1986 on 1 and C Degrees of Freedom (a) What was the original goal of this study if Y was supposed to be the dependent variable? (c) Calculate the values of A and B. State C. (b) What did the data analyst actually model if they fit the model of X on Y? What is the equation for this regression model?
A data analyst for Gator Dining Services obtained a report of the GPA (X) and average flex bucks spent (Y) for 100 undergraduate students enrolled in a certain meal plan. However, the analyst made a syntactical error in his R code and the regression model of X on Y was fit. A portion of this regression output is given below (with some missing values, A, B and C): Coefficients: (Intercept) Flex Bucks Spent --- Estimate 4.2375 -0.0549 Std. Error 0.2500 0.1232 t-value A B Residual standard error: 0.4743 on C degrees of freedom Multiple R-squared: 0.8116, Adjusted R-squared: 0.7971 F-statistic: 0.1986 on 1 and C Degrees of Freedom (a) What was the original goal of this study if Y was supposed to be the dependent variable? (c) Calculate the values of A and B. State C. (b) What did the data analyst actually model if they fit the model of X on Y? What is the equation for this regression model?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:| A data analyst for Gator Dining Services obtained a report of the GPA (X) and
average flex bucks spent (Y) for 100 undergraduate students enrolled in a certain meal plan.
However, the analyst made a syntactical error in his R code and the regression model of X
on Y was fit. A portion of this regression output is given below (with some missing values,
A, B and C):
Coefficients:
(Intercept)
Flex Bucks Spent
Estimate
4.2375
-0.0549
Std. Error t-value
0.2500
A
0.1232
B
Residual standard error: 0.4743 on C degrees of freedom
Multiple R-squared: 0.8116, Adjusted R-squared: 0.7971
F-statistic: 0.1986 on 1 and C Degrees of Freedom
(a) What was the original goal of this study if Y was supposed to be the dependent variable?
(b) What did the data analyst actually model if they fit the model of X on Y? What is the
equation for this regression model?
(c) Calculate the values of A and B. State C.
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