The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm)...
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The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 16.1 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 16.1 cm, what is the single value that is the best predicted height for that person? Click the icon to view the technology output. The single value that is the best predicted height is (Round to the nearest whole number as needed.) cm. Technology Output The regression equation is Height=50.7+5.57 Foot Length Predictor Constant Coef SE Coef T P 4.58 0.000 0.000 50.68 11.06 Foot Length 5.5704 0.4683 11.89 S=5.50165 R-Sq=72.8% R-Sq (adj) = 72.1% Predicted Values for New Observations New Obs Fit SE Fit 1 140.363 95% CI 958 PI 1.665 (135.382, 145.344) (130.020, 150.706) Values of Predictors for New Observations Foot New Obs Length 1 16.1 - The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 16.1 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 16.1 cm, what is the single value that is the best predicted height for that person? Click the icon to view the technology output. The single value that is the best predicted height is (Round to the nearest whole number as needed.) cm. Technology Output The regression equation is Height=50.7+5.57 Foot Length Predictor Constant Coef SE Coef T P 4.58 0.000 0.000 50.68 11.06 Foot Length 5.5704 0.4683 11.89 S=5.50165 R-Sq=72.8% R-Sq (adj) = 72.1% Predicted Values for New Observations New Obs Fit SE Fit 1 140.363 95% CI 958 PI 1.665 (135.382, 145.344) (130.020, 150.706) Values of Predictors for New Observations Foot New Obs Length 1 16.1 -
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