Consider the computer output below The Regression equation Y = 253.8 + 2.77 x1 - 3.58 x2 Predictor Coef SE Coef Constant 253.810 4.781 ? (A1) х1 2.7738 0.1846 15.02 x2 -3.5753 0.1526 ? (A2) R-Sq (Adjusted) = 98.4% Fill the missing values of A1 and A2, and do the required analysis to decide which of coefficients are significant? What do you think about the validity of the model?

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Consider the computer output below The
Regression equation
Y = 253.8 + 2.77 x1 - 3.58 x2
Predictor
Coef
SE Coef
Constant
253.810
4.781
? (A1)
х1
2.7738
0.1846
15.02
x2
-3.5753
0.1526
? (A2)
R-Sq (Adjusted) = 98.4%
Fill the missing values of A1 and A2, and do the required analysis to decide which of
coefficients are significant? What do you think about the validity of the model?
Transcribed Image Text:Consider the computer output below The Regression equation Y = 253.8 + 2.77 x1 - 3.58 x2 Predictor Coef SE Coef Constant 253.810 4.781 ? (A1) х1 2.7738 0.1846 15.02 x2 -3.5753 0.1526 ? (A2) R-Sq (Adjusted) = 98.4% Fill the missing values of A1 and A2, and do the required analysis to decide which of coefficients are significant? What do you think about the validity of the model?
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