18 Highway = 50.5 - 0.00577 WeightPredictorCoefSE CoefTPConstant50.5322.75617.850.000Weight- 0.0057702 0.0007843- 7.850.000S=2.21674R-Sq = 66.9% R-Sq(adj) = 64.1%Predicted Values for New ObservationsNewObsFitSE Fit95% CI95% PI127.4510.519(26.448, 28.454)(22.860, 32.042)Values of Predictors for New ObservationsNewObsWeight14000 The Minitab output shown below was obtained by using paired data consisting of weights (in Ib) of 27 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, Minitab was also given a carweight 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 thecorrelation 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?E 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?O YesO No

Name: 18 Highway = 50.5 - 0.00577 WeightPredictorCoefSE CoefTPConstant50.532
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: 18 Highway = 50.5 - 0.00577 WeightPredictorCoefSE CoefTPConstant50.5322.75617.850.000Weight- 0.0057702 0.0007843- 7.850.000S=2.21674R-Sq = 66.9% R-Sq(adj) = 64.1%Predicted Values for New ObservationsNewObsFitSE Fit95% CI95% PI127.4510.519(26.448, 28.