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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 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 29.9 cm, what is the single value that is the best predicted height for that person? 29.9 cm to E Click the icon to view the technology output. The single value that is the best predicted height is cm. (Round the nearest whole number as needed.)

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 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 29.9 cm, what is the single value that is the best predicted height for that person? 29.9 cm to E Click the icon to view the technology output. The single value that is the best predicted height is cm. (Round the nearest whole number as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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Technology output The single value that is the best predicted height is cm. (Round to the nearest whole number as needed.) The regression equation is Height = 65.9 + 4.97 Foot Length Predictor Сoef SE Coef T P Constant 65.93 11.53 5.72 0.000 Foot Length 4.9691 0.4803 10.35 0.000 S = 5.50572 R-Sq=71. 5% R-Sq(adj) = 70.8% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 214.506 1.768 (210.408, 218.604) (202.711, 226.301) Values of Predictors for New Observations Foot New Obs Length 29.9
Transcribed Image Text:Technology output The single value that is the best predicted height is cm. (Round to the nearest whole number as needed.) The regression equation is Height = 65.9 + 4.97 Foot Length Predictor Сoef SE Coef T P Constant 65.93 11.53 5.72 0.000 Foot Length 4.9691 0.4803 10.35 0.000 S = 5.50572 R-Sq=71. 5% R-Sq(adj) = 70.8% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 214.506 1.768 (210.408, 218.604) (202.711, 226.301) Values of Predictors for New Observations Foot New Obs Length 29.9
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 29.9 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 29.9 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 cm. (Round to the nearest whole number as needed.)
Transcribed Image Text: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 29.9 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 29.9 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 cm. (Round to the nearest whole number as needed.)
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