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Linear Regression & Least Squares Method
12. Regression / Linear Regression & Least Squares Method / Problem 4
Problem 4

A researcher developed a regression model to predict the final exam score (y)(y) based on the number of hours studied (x)(x). The regression equation is y^=50+2x \hat{y} = 50 + 2x . The sample size is n=16 n = 16 , the mean number of hours studied is xˉ=10 \bar{x} = 10 , Sxx=240 S_{xx} = 240 , and the standard error of estimate is sy=5 s_y = 5 . Construct a 90%90\% prediction interval for the final exam score when a student studies for 1414 hours.