Using the appropriate model, sample size n and output below Modely-da + 8x1 +03x3 +03x3 + Sample size: n=16 Regression Statistics Multiple R 0.9979 R Square 0.9959 Adjusted R. Square 0.9949 Standard Error 396.1655 Observations 16 ANOVA Regression Residual Total Significance 981.6824 0.0000 3 12 15 55 462,216,547.4751 1,883,364.9175 464,099,912.3926 MS 154,072, 182.4917 156,947.0765 (1) Report the total variation, unexplained variation, and explained variation as shown on the output (Round your answers to 4 decimal places) Total variation Unexplained variation Explained variation (2) Report R2 and R as shown on the output. (Round your answers to 4 decimal places.) R42 R-bar 2 (3) Report SSE, s, and s as shown on the output. Calculates from SSE and other numbers (Round your answers to 4 decimal places.) SSE S2 is (4) Calculate the model) statistic by using the explained variation, the unexplained variation, and other relevant quantities, (Round your answer to 3 decimal places.) (model) (5) Use the Amodel) staustic and the appropriate rejection point to test the significance of the linear regression model under consideration by setting a equal to 05. HO: B1 B2 B30 by setting a 05 (6) Find the p value related to Amodel) on the output. Using the p-value. test the significance of the linear regression model by setting a = 10,05.01, and 001 p-value = 000 Ho at a:05,01 and 001