The research team thought that the life-cycle cost was related to the number of seats produced annually. To test this idea they collected data for existing seats that had been manufactured for the CUP2 for the past ten years. The data is summarized in the table below.year:89909192939495969798Number of seats314412389370310287280150160 140produced:(in hundreds)Life-cycle Cost:395370 380381390400395420430 450(mean to nearestdollar)A.Construct a scatter plot for the data. Does the relationship appear to be linear?B.State appropriate null and alternate hypotheses with regard to correlation.C.Compute the Pearson r.D.Test it for significance at the .05 level. Based on the p-value make a decision about the null hypothesis (Reject of Fail to Reject). E.Compute the regression line for the data.F.How much (what percent) of the variation is explained by the regression line? G.According to the regression model what is the predicted life-cycle cost if 460 seats are produced?
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