Busi. 410 Lab Pre-Practice 9

# Busi. 410 Lab Pre-Practice 9 - Observation s 50 ANOVA df SS...

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1. SUMMARY OUTPUT Regression Statistics Multiple R 0.851257 R Square 0.724639 Adjusted R Square 0.712921 Standard Error 1.078964 Observatio ns 50 ANOVA df SS MS F Significan ce F Regression 2 143.989 3 71.9946 7 61.8424 2 6.88E-14 Residual 47 54.7156 7 1.16416 3 Total 49 198.705 Coefficien ts Standar d Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 9.560667 0.33601 1 28.4533 9 2.81E- 31 8.884699 10.2366 3 8.88469 9 10.2366 3 YEARS 0.306667 0.03516 9 8.71991 3 2.19E- 11 0.235917 0.37741 7 0.23591 7 0.37741 7 MALE 1.153333 0.33177 9 3.47620 5 0.00110 5 0.485879 1.82078 7 0.48587 9 1.82078 7 a) Hourly wage for woman: 9.56 + (.31*10) = \$12.66 b) Hourly wage for man: 9.56 + (.31*10) + 1.15 = \$13.81 c) Worth of year of work experience, woman: \$.31 Worth of year of work experience, man: .31 + (1.15/10) = \$.43 d) Men earn \$1.15 more per hour than women. This figure is significantly greater than 0 because the Significance F value for the regression is less than .05 (for 95% significance level). 2. SUMMARY OUTPUT Regression Statistics Multiple R 0.851257 R Square 0.724639

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Adjusted R Square 0.712921 Standard Error 1.078964
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Unformatted text preview: Observation s 50 ANOVA df SS MS F Significan ce F Regression 2 143.989 3 71.9946 7 61.8424 2 6.88E-14 Residual 47 54.7156 7 1.16416 3 Total 49 198.705 Coefficien ts Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 10.714 0.40003 4 26.7827 6 4.11E-30 9.909236 11.5187 6 9.90923 6 11.518 76 YEARS 0.306667 0.03516 9 8.71991 3 2.19E-11 0.235917 0.37741 7 0.23591 7 0.3774 17 FEMALE-1.15333 0.33177 9-3.47621 0.00110 5-1.82079-0.48588-1.82079-0.4858 8 a) Hourly wage for man: 10.71 + (.31*10) = \$13.81 b) Hourly wage for woman: 10.71 + (.31*10) – 1.15 = \$12.66 c) Worth of year of work experience, man: .31 Worth of year of work experience, woman: .31 – (1.15/10) = .20 d) Women earn \$1.15 less per hour than men. This figure is significantly less than 0 because the Significance F value for the regression is less than .05. This is the exact same result of that from question 1(d)....
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Busi. 410 Lab Pre-Practice 9 - Observation s 50 ANOVA df SS...

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