When a least squares line is fit to the 30 observations in the Fresh detergent data, we obtain SSE = 2.806. Calculate s2 and s.
Answer to relevant QuestionsWhen a least squares line is fit to the 11 observations in the service time data, we obtain SSE = 191.7017. Calculate s2 and s. The Excel output of a simple linear regression analysis of the data set for this case (see Table 13.4 on page 476) is given in Figure 13.12. Recall that a labeled Excel regression output is on page 482. The following partial MINITAB regression output for the natural gas consumption data relates to predicting the city’s natural gas consumption (in MMcf) in a week that has an average hourly temperature of 40° F. a. Report ...Total variation = 20,110.5455; SSE = 191.7017; b1 = 24.6022. The direct labor cost case a. Use the explained variation and the unexplained variation as given on the computer output to calculate (within rounding) the F(model) statistic. b. Utilize the F(model) statistic and the ...
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