A linear regression model with three predictor variables was fit to a data set with 40 observations The correlation between Y and was 0 65 The total sum of squares was 100 (a) What is the value of R2 (b) What is the value of the residual error SS (c) What is the value of the regression SS (d) What is the value of s2

Question: A linear regression model with three predictor variables was fit to a data set with 40 observations. The correlation between Y and was 0.65.

A linear regression model with three predictor variables was fit to a data set with 40 observations. The correlation between Y and Ŷ was 0.65. The total sum of squares was 100.
(a) What is the value of R2?
(b) What is the value of the residual error SS?
(c) What is the value of the regression SS?
(d) What is the value of s2?

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