Technology Output The regression equation is Height = 56. 0+4. 32 Foot Length Predictor Coef SE Coef T P Constant 56.01 11.29 4.96 0. 000 Foot Length 4. 3185 0. 4069 10 .61 0.000 S = 5. 50054 R-Sq =70. 68 R-Sq (adj) = 69. 8: Predicted Values for New Observations New Obs Fit SE Fit 950 CI 950 PI 1 152.313 1.784 (148.158, 156. 468) (140.251, 164.375) Values of Predictors for New Observations Foot New Obs Length 1 22.3The 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 tool length of 22.3 cm to be used for predicting height. The technology found that there is a linear correlation between height and loot iength If someone has a foot length of 22.3 cm, what is the single value that is the best predided height for that person? a 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.)