When a least squares line is fit to the 11 observations in the service time data, we obtain SSE = 191.7017. Calculate s2 and s.
Answer to relevant QuestionsWhen a least squares line is fit to the 12 observations in the labor cost data, we obtain SSE = 746.7624. Calculate s2 and s. The Excel output of a simple linear regression analysis of the data set for this case (see Table 13.5) is given in Figure 13.13. Recall that a labeled Excel regression output is on page 482. The following partial MINITAB regression output for the Fresh detergent data relates to predicting demand for future sales periods in which the price difference will be .10 (see New Obs 1) and .25 (see New Obs 2). a. Report ...Total variation = 1,025,339.6667; SSE = .746.7624; b1 = 10.1463. In regression analysis, what should the residuals be plotted against?
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