Use SAS output for a random sample of size 20 to answer the following questions. Regression of yon X and X₂ Regression of y on X.X and X₂ Source Model Error Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of DF Squares Mean Square F Value Pr > F 2 1317.79841 658.89921 20.84 <.0001 17 537.40359 31.61198 x1 Corrected Total 19 1855.20200 R-Square Coeff Var Root MSE 0.818318 22.31297 4.589778 Standard Error Parameter Estimate Intercept -36.76492528 7.01092577 0.00076294 0.00063630 y Mean 20.57000
Use SAS output for a random sample of size 20 to answer the following questions. Regression of yon X and X₂ Regression of y on X.X and X₂ Source Model Error Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of DF Squares Mean Square F Value Pr > F 2 1317.79841 658.89921 20.84 <.0001 17 537.40359 31.61198 x1 Corrected Total 19 1855.20200 R-Square Coeff Var Root MSE 0.818318 22.31297 4.589778 Standard Error Parameter Estimate Intercept -36.76492528 7.01092577 0.00076294 0.00063630 y Mean 20.57000
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
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