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...


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 21.4 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 21.4 ​cm, what is the single value that is the best-predicted height for that​ person?


The regression equation is


Height=52.3+4.58

Foot Length




























Predictor


Coef


SE Coef


T


P


Constant


52.33


11.01


4.75


0.000


Foot Length


4.5818


0.4872


9.40


0.000





S=5.50437

​R-Sq=70.8​%

​R-Sq(adj)=70.0​%



Predicted Values for New Observations

























New Obs


Fit


SE Fit


​95%


CI


​95%


PI


1


150.381


1.722



​(146.730​,




154.032​)




​(138.758​,




162.004​)





Values of Predictors for New Observations















New Obs


Foot Length


1


21.4


The single value that is the best-predicted height is __ cm.


​(Round to the nearest whole number as​ needed.)





Jun 06, 2022
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here