2. (Continmed from Onestion 2 in Homework 6) The data set cars gives the sneed (X) and stopping distance (Y) for n=...
2. (Continmed from Onestion 2 in Homework 6) The data set cars gives the sneed (X) and stopping distance (Y) for n=50 (very old) statistics cars. Suppose you are given the following summary n ΣΧ- - 770; (Xi-X) 1370; Yi2149; XY 38482 i-1 i-1 i1 i1 In addition, suppose we fit the simple linear regression model Y= iid N(0, a2), and obtain RSS = (Y-Y) OLS for the ith observation. +B1Xi+ 478.02 where Y is the fitted value given by assuming a What is your estimated a2? b Compute SS = (-Y)2 and SSM in Y is explained by the variation in X? (Y-Y). What percentage of variation Interpret 81 in the context of this problem and find a 95% confidence interval for B C piediciion inie val d The speeu uf auviiei cau uf iie sauue eia is Ah for its stopping distance Y =i.0. CULsit uci a S370
2. (Continmed from Onestion 2 in Homework 6) The data set cars gives the sneed (X) and stopping distance (Y) for n=50 (very old) statistics cars. Suppose you are given the following summary n ΣΧ- - 770; (Xi-X) 1370; Yi2149; XY 38482 i-1 i-1 i1 i1 In addition, suppose we fit the simple linear regression model Y= iid N(0, a2), and obtain RSS = (Y-Y) OLS for the ith observation. +B1Xi+ 478.02 where Y is the fitted value given by assuming a What is your estimated a2? b Compute SS = (-Y)2 and SSM in Y is explained by the variation in X? (Y-Y). What percentage of variation Interpret 81 in the context of this problem and find a 95% confidence interval for B C piediciion inie val d The speeu uf auviiei cau uf iie sauue eia is Ah for its stopping distance Y =i.0. CULsit uci a S370