We give JMP output of regression analysis. Above output we give the regression model and the number of observations,n, used to perform the regression analysis under consideration. Using the model, sample sizen, and output:

Model:y = ₀+ ₁x₁+ ₂x₂+ ₃x₃+ Sample size: n= 30

Summary of Fit
RSquare	0.989967
RSquare Adj	0.988809
Root Mean Square Error	0.240783
Mean of Response	8.382667
Observations (or Sum Wgts)	30

Analysis of Variance
Source	df	Sum of Squares	Mean Square	F Ratio
Model	3	148.731990	49.57730	855.1257
Error	26	1.507390	0.05800	Prob > F
C. Total	29	150.239390		<.0001*

(1)Report the total variation, unexplained variation, and explained variation as shown on the output.(Round your answers to 4 decimal places.)

(2)ReportR²andR2R2as shown on the output.(Round your answers to 4 decimal places.)

(3)ReportSSE,s²(same as MSE), andsas shown on the output.(Round your answers to 4 decimal places.)

(4)Calculate theF(model) statistic by using the explained variation, the unexplained variation, and other relevant quantities.(Round your answer to 2 decimal places.)

(5)Use theF(model) statistic and the appropriate critical value to test the significance of the linear regression model under consideration by setting equal to .05.

(6)Find thepvalue related toF(model) on the output. Using thepvalue, test the significance of the linear regression model by setting = .10, .05, .01, and .001. What do you conclude?