The regression equation is Height = 60. 1+4.85 Foot Length Predictor Coef SE Coel T P Constant 60 .13 11 . 72 5.13 0.000 Foot Length 4.8473 0. 4683 10.35 0.000 S = 5 . 50832 R-Sq = 71 . 38 R-Sq(adj ) = 70.5% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 121.206 1. 772 (116. 942, 125. 470) (108. 970, 133. 442) Values of Predictors for New Observations Foot New Obs Length 1 12.6The 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 afoot length of 12.6 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 12.6 cm, what is the single value that is the best predicted height for that person? Click the icon to view the technology output. (:3 The single value that is the best predicted height is El cm. (Round to the nearest whole number as needed.)