You fit two models in a situation where there are two groups, represented by the dummy variable d, and a potential covariate x. Explain the difference in the interpretation of the parameter β1 in the two models.
Model 1: y + β0+ β1d + ε Model 2: y = β0+ β1d + β2x + ε
Table 11.15 summarizes the results of a regression of a variable Y on two independent variables X1 and X2. There were 35 observations in the data.
(a) Give a point estimate of L = βo+ β1- β2:
(b) Give a 95% confidence interval for this quantity.
(c) Does including X2 in the regression significantly improve the prediction of Y?
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