Can someone help me figure out this question?

A researcher is interested in using regression analysis to estimate Gross Domestic Product (GDP) on current economic factors. He tried to model i. the GDP as a function of Taj. the amount of business investment. Also, the researcher is interested in including a dummy variable Ti,2 to account for a difference between with and without the stimulus monetary policy. The researcher collected n = 30 observations and considered two different models. Model 1: E(yi) = Po+ Bili,I + Bari, + Palin + BATi,IIi2 Model 2: E(yi ) = Bo + Bili,1 + Box?. After fitting the model, two printouts are given as follow. Table 1: Model 1: GDP versus 1, $41-q, 5 mins, 21-9454 Predictor Coel SE Cool Constant 776.4 144.5 0. 10419 001384 -0.00010223 1004 -0.00914 8 15.5629 R-5q-97.21 Table 2: Model 2. GDP versus 241, $41-54 Prodictor Cort SE Cart Constant 197.5 578.9 0.14921 -070100 0205 10.0000 0132 (a) Fill in the missing numbers of the Analysis-of Variance table for the Model 1 and test at 5% level whether the model is of any use in predicting ;? Please write down (1) critical values and (2) make conclusion based on rejection region. Analysis of Variance Source DF SS MS F Regression Residual Error Total (b) Suppose the researcher has a hypothesis that GDP will increase at a decreasing rate as business investment increase, test the hypothesis at 5%% significant level using Model 2 (c) Does the data provide sufficient evidence to indicate that the Model 1 contributes more information for the prediction of 1/; comparing with Model 2 at 5% significant level