Question: 0.8. A regression model was fit, relating average annual temperature (Y) to Year (X1 = year - 1960) for the cities Miami, St. Louis, and

 0.8. A regression model was fit, relating average annual temperature (Y)

0.8. A regression model was fit, relating average annual temperature (Y) to Year (X1 = year - 1960) for the cities Miami, St. Louis, and Seattle over the years 1960-2020. Dummy variables were created for St. Louis (X2 = 1 if St. Louis, 0 if not) and Seattle (X3 = 1 if Seattle, 0 if not). The models fit are given below with fitted equations plotted on last page of exam. Model 1: E{ Y } = Bo + B, X, + B2 X2 + ByX3 Model 2: E( Y} = Bo + B,X, + BzX2 + ByX, + BAX, X2+ ByX,X's Model 1 : Coefficients: (Intercept) Estimate Std. Error t value Pr(> |t/) 75.091750 0. 190891 393. 38 0 . 054137 |t/) (Intercept) 75. 088956 0. 262310 286.260

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