Question: A company has built a regression model to predict the number of labor hours (Yi) required to process a batch of parts (Xi). It has

A company has built a regression model to predict the number of labor hours (Yi) required to process a batch of parts (Xi). It has developed the following Excel spreadsheet of the results. A B C D E F G 1 Regression Statistics 2 Multiple R 0.9970 3 R Square 0.9941 4 Adjusted R Square 0.9933 5 Standard Error 0.3679 6 Observations 10 7 8 ANOVA 9 df SS MS F Significance F 10 Regression 1 181.5971 181.5971 1341.5500 0.0000 11 Residual 8 1.0829 0.1354 12 Total 9 182.6800 13 14 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 15 Intercept 4.8400 0.2513 19.2571 0.0000 4.2604 5.4196 16 X Variable 1 1.4836 0.0405 36.6272 0.0000 1.3902 1.5770 Predict the mean number of labor hours for a batch of 5 parts. Group of answer choices 25.6836 11.3236 12.258 6.3236

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