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 10.5 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 10.5 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.) Technology Output The regression equation is Height 54.8+4.21 Foot Length Predictor Constant cm. Coef 54.78 SE Coef 11.11 T P 4.93 0.000 Foot Length 4.2136 0.4745 8.88 0.000 S-5.50355 R-Sq-73.29 R-Sq (adj) -72.59 Predicted Values for New Observations New Obs 1 Fit SE Fit 99.023 1.795 (95.217, 102.829) 95% CI 95% PI (87.191, 110.855) Values of Predictors for New Observations - X N clo et pla xpert Us