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K The Minitab output shown below was obtained by using paired data consisting of weights...

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K The Minitab output shown below was obtained by using paired data consisting of weights in lb of 27 cars and their highway fuel consumption amounts in mi gal Along with the paired sample data Minitab was also given a car weight of 4000 lb to be used for predicting the highway fuel consumption amount Use the information provided in the display to determine the value of the linear correlation coefficient Be careful to correctly identify the sign of the correlation coefficient Given that there are 27 pairs of data is there sufficient evidence to support a claim of linear correlation between the weights of cars and their highway fuel consumption amounts Click the icon to view the Minitab display The linear correlation coefficient is Round to three decimal places as needed Is there sufficient evidence to support a claim of linear correlation OYes O No Minitab output The regression equation is Highway 50 7 0 00581 Weight Predictor SE Coef Coef Constant 50 708 2 766 Weight 0 0058083 0 0007504 S 2 24952 R Sq 65 6 R Sq adj 62 7 Predicted Values for New Observations New Obs 1 Fit 27 475 SE Fit 0 462 T P 17 99 0 000 7 45 0 000 95 CI 26 458 28 492 Values of Predictors for New Observations New 95 Pl 22 885 32 065

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