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A reseаrcher wоuld like tо predict students' cоllege GPA bаsed on their SAT mаth Score (), SAT verbal score (), and high school math grades (). Using the record of 21 students, she fits a linear regression. Below is the R output after fitting the multiple linear regression to the data. (a) Complete the regression equation below (the right side of the equation) with estimated parameters using the provided R output. Do not round any of the numbers. (b) What is the proportion of variation in Grade Point Average (GPA) explained by the regression model? (c) Write down the interpretation for the coefficient of SAT math score () and how it will change the average GPA in one sentence. Explain it as if you were explaining it to someone with no statistical knowledge! (d) Which predictor variable is NOT significant? (e) If Hannah’s SAT math score is 650, her SAT verbal score is 600, and her high school math score is 3, predict her college GPA (do not round any of the values in the calculation process and keep 2 decimal points for the final answer). (f) Hannah’s actual GPA is 3.33. What is the residual for her GPA based on the model’s prediction? (g) Did the model overestimate or underestimate Hannah’s GPA?
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