please help with these questions

The regression equation is Y = 2.08 + 2.14 x1 Predictor Coef SECoef T Constant 2. 08 0. 60 3.46 X1 2.14 |0. 61 3.52 Analysis of Variance Source DF SS MS F Regression 1) 127.74 127 .74 12. 40 Error 2 ) 288.47 10.30 Total 3 ) 416.21 Suppose that variables x2 and x3 are added to the model and the following analysis is obtained. Regression Analysis II: Y versus X1, X2, X3 The regression equation is Y = 1.79 + 2. 40 X1 + 2.31 x2 + 2. 75 X3 Predictor Coef SE Coef T Constant 1. 79 0. 27 6.55 X1 4) 0 . 28 5 ) X2 2. 31 6) 7.36 X3 2.75 0.33 8.33 Analysis of Variance Source DF SS MS F Regression 7 ) 362 . 28 8 ) 9 ) Error 10 11) 2. 07 Total 12) 416.21 a) (12pt) Fill in all the blank highlighted with yellow. b) (6pt) Which regression analysis should be used to evaluate the linear relationship between Y and XI without accounting for other variables? According to this analysis, is there a linear relationship? State the hypotheses, provide the test statistic and make your conclusion at the 0.05 level. c) (6pt) It is necessary to include both X2 and X3 into the model? State the hypotheses, calculate the test statistic, and make your conclusion at the 0.05 level