Use SAS output for a random sample of size 20 to answer the following questions.Regression of yon X and X₂Regression of y on X₁.X and X₂1= 8.40F1.17, 0.99F3.16, 0.99 = 5.29b) CalculateF1,17, 0.95 = 4.45F3.16, 0.95 = 3.24SourceModelErrorParameterInterceptCorrected Total 19 1855.20200x1x2x3R-Square Coeff Var Root MSE0.818318 22.31297 4.589778Source DF111x1x2x3Number of Observations Read 20Number of Observations Used 20x1x2x3Analysis of VarianceSum ofDF SquaresMeanSquare F Value Pr > F2 1317.79841 658.89921 20.84 <.000117 537.40359 31.61198SourceModelErrorStandardEstimateError-36.76492528 7.010925770.00076294 0.000636301.19217421 0.561653914.71982137 1.53047547Source DFType III SS130.2855361194.91291621 200.3465296Type I SS8.3524811309.445931200.346530316Corrected Total 19DF Sum of Squares Mean Square F Value Pr > F24.02 00011518 144941337.0570591855.202000506 04831421.066066y Mean20.57000F2,17,0.99 = 6.11F4,16,0.99 = 4.77F2,17, 0.95 = 3.59F4,16, 0.95 = 3.01

We have to find the value of Y^¯, i.e., mean of estimated Y. We know that for a linear regression…

Answered: Use SAS output for a random sample of…

A First Course in Probability (10th Edition)

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Author:Sheldon Ross

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Chapter1: Combinatorial Analysis

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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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