both pictures same question......
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 sample data, the technology was also given a foot length of 19.1 cm to be used for predicting height. The technology found that there is a linear correlation betwee and foot length it someone has a loot length of 19.1 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 cm. (Round to the nearest whole number as needed.)
Technology Output The regression equation is Height -50.3+ 3.83 Foot Length Predictor Constant Foot Length Coef SE Coef 50.26 11.49 3.8331 0.4588 т P 4.37 0.000 8.35 0.000 S=5.50999 R-Sq=72.6% R-Sq(adj) = 71.98 Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 123.472 1.789 (119.171, 127.773) (112.251, 134.693) Values of Predictors for New Observations Foot New Obs Length 1 19.1
The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm
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The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm
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