Using the appropriate model, sample size n, and output below:Model: y = ?0 + ?1x1 + ?2x2 + ?3x3 + ? Sample size: n = 16Regression Statistics Multiple R .9979 R Square .9958 Adjusted RSquare .9947 Standard Error 403.4885 Observations 16 ANOVA DF SS MSF Significance F Regression 3 462,169,641.8709 154,056,547.2903946.2760 .0000 Residual 12 1,953,635.6197 162,802.9683 Total 15464,123,277.4907 (1) Report SSE, s2, and s as shown on the output.(Round your answers to 4 decimal places.) SSE s2 s (2) Report R2and R???2 as shown on the output. (Round your answers to 4 decimalplaces.) R2 Picture (3) Report the total variation, unexplainedvariation, and explained variation as shown on the output. (Roundyour answers to 4 decimal places.) Total variation Unexplainedvariation Explained variation (4) Calculate the F(model) statisticby using the explained variation, the unexplained variation, andother relevant quantities. (Round your answer to 3 decimal places.)F(model) (5) Use the F(model) statistic and the appropriaterejection point to test the significance of the linear regressionmodel under consideration by setting ? equal to .05. H0: ?1 = ?2 =?3 = 0 by setting ? = .05. (6) Use the F(model) statistic and theappropriate rejection point to test the significance of the linearregression model under consideration by setting ? equal to .01. H0:?1 = ?2 = ?3 = 0 by setting ? = .01. (7) Find the p-value relatedto F(model) on the output. Using the p-value, test the significanceof the linear regression model by setting ? = .10, .05, .01, and.001. p-value = .000. H0 at ? = .05, .01, and .001.