Sample Test 3 (multiple regression)

Sample Test 3 (multiple regression) - Weekly Gross Revenue...

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96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s)
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y x1 x2 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5
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y x1 x2 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5 87 88 89 90 91 92 93 94 95 96 97 f(x) = 1.6x + 88.64 R² = 0.65 x1 Linear Regression for x1 x1 y 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4 87 88 89 90 91 92 93 94 95 96 97 f(x) = -0.04x + 93.86 R² = 0 x1 Linear Regression for x1 x2
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5.5 4.5
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SUMMARY OUTPUT Regression Statistics Multiple R 0.81 R Square 0.65 Adjusted R Square 0.59 Standard Error 1.22 Observations 8 ANOVA df SS MS F Significance F Regression 1 16.64 16.64 11.27 0.02 Residual 6 8.86 1.48 Total 7 25.5 Coefficients Standard Error t Stat P-value Lower 95% Intercept 88.64 1.58 56.02 0 84.77 X Variable 1 1.6 0.48 3.36 0.02 0.43
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Upper 95% 92.51 2.77
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This note was uploaded on 02/19/2011 for the course OM 210 taught by Professor Singer during the Spring '08 term at George Mason.

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Sample Test 3 (multiple regression) - Weekly Gross Revenue...

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