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An article in Technometrics (1974, Vol. 16, pp. 523-531) considered the following stack-loss data from a plant oxidizing ammo(a) Fit a linear regression model relating the results of the stack loss to the three regressor variables. Round your answers

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Answer #1

Using Excel, go to Data, select Data Analysis, choose Regression.

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.956
R Square 0.914
Adjusted R Square 0.898
Standard Error 3.243
Observations 21
ANOVA
df SS MS F Significance F
Regression 3 1890.408 630.136 59.902 0.000
Residual 17 178.830 10.519
Total 20 2069.238
Coefficients Standard Error t Stat P-value
Intercept -39.920 11.896 -3.356 0.004
x1 0.716 0.135 5.307 0.000
x2 1.295 0.368 3.520 0.003
x3 -0.152 0.156 -0.973 0.344

a) y = -39.92 + 0.72x1 + 1.30x2 - 0.15x3

b) SS Total = 2069.24

c) x1 = 62, x2 = 26, x3 = 84

y = -39.92 + 0.72x1 + 1.30x2 - 0.15x3 = -39.92 + 0.72*62 + 1.30*26 - 0.15*84 = 25.92

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