Question 21 2 pts Consider this regression problem for the next three questions.

Question

Question 21 2 pts Consider this regression problem for the next three questions. 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. 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 ANOVA df MS Significance F 10 Regression 181.5971 181.5971 1341.5500 0.0000 11 Residual 8 1.0829 0.1354 12 Totl 182.6800 13 Standard Lower Upper 95% 95% 14 Error Coefficients t StatP P-value 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 What is the estimated regression function for this problem?

Explanation / Answer

from above given output regression equation : labour hours Yhat =4.84+1.4836*x

please revert for other subparts

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