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 26.4 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 26.4 ?cm, what is the single value that is the best predicted height for that? person?

Exam 4 . opera .r u H pearmnmm Statistics (MATH 1342-4W02) Angela Lopez 05/07/22 9:36 PM . . This test: 20 point(s) possible . Test. Exam 4 Question 5 of 20 This question: 1 point(s) possible {$33 Submit test ate, the technology was also given a foot length of 26 4 cm to be used for st predicted height for that person? The accompanying technology output was obtained by using the paired data I predicting height The technology tound that there is a linear correlation betw. Technology Output a Click the icon to View the technology output The regression equeeien is Height: 55 . a + a .55 Fast: Length Predictor Coef 51:. Cuef 1- p 5.23 0.000 Constant: 58.75 11.24 FeetLength 3.5949 0.4309 3.34 0.000 The single value that is the best predicted height is cm (Round to the nearest whole number as needed ) 5:5.50355 1275:1214; ReSqtedjimoae Predicted Values for New Observations Ila-101:5 Ti: 51: Pit: 953 c] 95% PI 1 153.555 1.755 (149.516.157.392) (141.574.165.736) Values of Fredictura for New Obaarvatimna Foot New Obs Length 1 26.4 Time Remaining: 02;2a;44