Regression Statistics of the Acme corp.

The Acme corp. wished to predict maintenance costs per year on its factory equipment by knowledge of the equipment’s age. The following data was collected which yielded the regression equation: (see the printout) SUMMARY OUTPUT Regression Statistics Multiple R ( ) R Square 0.843041 Adjusted R Square 0.790722 Standard Error ( ) Observations 5 ANOVA df SS MS F Significance F Regression 1 ( ) 1394491 16.1133 0.027751 Residual 3 259628.6 86542.86 Total 4 1654120 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -158.095 299.9618 -0.52705 0.634646 -1112.71 796.5172 -1112.71 796.5172 X Variable 1 235.2381 58.60239 ( ) 0.027751 48.73913 421.7371 48.73913 421.7371 Age Maintenance Costs 6 920 7 1810 1 230 3 400 6 1260 Question 1) What is the point estimate of maintenance cost for a machine that is 3 years old? Question 2) Determine the missing values in the printout given below.

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