Question

Question 28 Error sum of squares (ESS) is computed as o a. È(9-Y,)? ob. Ŝ(v;-P) c. ][9:-x;) od. [9:-Y) O

Answer 1

28) The Total sum of squares (SST), Sum of squares due to regression (SSR) and Sum of squares due to errors (SSE) are given by:

2 SST ΣΥ, - Υ) SSE = Σ Σ Y, - Υ = i-1 SST i-1 SSE SSR

Hence, correct option is (b)

30) The estimated value with k independent variables is expressed as

Y, = bo + b, X 11 + b2x + ... +62X 21 ki

For one independent variable the estimated value will be $\hat {Y_i}=b_0+b_1X_1$

Hence, correct option is (b)

31) The relation between adjusted
R
and
R
is given by

, where k denotes degrees of freedom.

R 2 Adj = 1- (1 - R?)(n-1) (n - k-1)

Adjusted
R
is always less than or equal to
R
.

Hence, correct option is (b)

Last question) is calculated as (Regression sum of squares) / (Total sum of squares)

R

Hence, correct option is (b)