6.1 When using N = 50 observations to estimate the model y = B + Bx;...

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6.1 When using N = 50 observations to estimate the model y = B + Bx; +3+e, you obtain SSE = 2132.65 and sy = 9.8355. a. Find R. b. Find the value of the F-statistic for testing Ho = 0, B3 = 0. Do you reject or fail to reject Ho at a 1% level of significance? c. After augmenting this model with the squares and cubes of predictions and y, you obtain SSE = 1072.88. Use RESET to test for misspecification at a 1% level of significance. d. After estimating the model y; = B + Bx; + 3; + + e;, you obtain SSE = 401.179. What is the R from estimating this model? e. After augmenting the model in (d) with the squares and cubes of predictions and y, you obtain SSE = 388.684. Use RESET to test for misspecification at a 5% level of significance. 6.1 When using N = 50 observations to estimate the model y = B + Bx; +3+e, you obtain SSE = 2132.65 and sy = 9.8355. a. Find R. b. Find the value of the F-statistic for testing Ho = 0, B3 = 0. Do you reject or fail to reject Ho at a 1% level of significance? c. After augmenting this model with the squares and cubes of predictions and y, you obtain SSE = 1072.88. Use RESET to test for misspecification at a 1% level of significance. d. After estimating the model y; = B + Bx; + 3; + + e;, you obtain SSE = 401.179. What is the R from estimating this model? e. After augmenting the model in (d) with the squares and cubes of predictions and y, you obtain SSE = 388.684. Use RESET to test for misspecification at a 5% level of significance.