Question: Use the information provided in the display to determine the value of the linear correlation coefficient. Given that there are 40 pairs of data, is

Use the information provided in the display to determine the value of the linear correlation coefficient. Given that there are 40 pairs of data, is there sufficient evidence to support a claim of a linear correlation between foot lengths of people and their heights?
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.

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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