What percentage of the total variation in height can be explained by the linear correlation between foot
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Refer to the Minitab display obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of the 40 people listed in Data Set 2 of Appendix B. Along with the paired sample data, Minitab was also given a foot length of29.0 cm to be used for predicting height.
Transcribed Image Text:
MINITAB The regresnion equacion is Height- 64.1 + 4.29 root Length Predictor Constant Foot Length 4.2913 0.4460 9.62 0.000 Coef SE CoefT 64.1311.49 5.58 0.000 S5.50571 R-Sq70.9 R-Sq(add)70.2s Predicted Velues for New Cbservation At SE Fi 95 PI 954 CI 1188.572 1.718 185.09, 192.049) 176.896, 200.247) Values of Predictors tor Nev observations Foot Neu obs Length 1 29.0
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