Question: (d) Consider two regression models: Y = 130 + 51X1 + 52X2 + 6; (model 1), Y = 166 + 5'le + 5X2 + Xl

(d) Consider two regression models: Y = 130 + 51X1 + 52X2 + 6; (model 1), Y = 166 + 5'le + 5X2 + Xl * X2 + 6'; (model 2), where X1 is a continuous variable, X2 is a binary variable, and e and e' are Gaussian random errors. Compare the two models and interpret each of the following quantities: (i) {31; (ii) [31 +153; (iii) {36 +135

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