Appendix B Data Sets. In Exercises 29–34, use the data from Appendix B to construct a scatterplot . find the value of the linear correlation coefficient r, and find either the P-value or the critical values of r from Table A-6 using a significance level of α = 0.05. Determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) 31 CSI Statistics Use all of the shoe print lengths and heights of the 19 males from Data Set 2 “Foot and Height” in Appendix B.
Appendix B Data Sets. In Exercises 29–34, use the data from Appendix B to construct a scatterplot . find the value of the linear correlation coefficient r, and find either the P-value or the critical values of r from Table A-6 using a significance level of α = 0.05. Determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) 31 CSI Statistics Use all of the shoe print lengths and heights of the 19 males from Data Set 2 “Foot and Height” in Appendix B.
Solution Summary: The data shows that there is a linear correlation between the shoe print lengths and heights of the 19 males.
Appendix B Data Sets. In Exercises 29–34, use the data from Appendix B to construct a scatterplot. find the value of the linear correlation coefficient r, and find either the P-value or the critical values of r from Table A-6 using a significance level of α = 0.05. Determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)
31 CSI Statistics Use all of the shoe print lengths and heights of the 19 males from Data Set 2 “Foot and Height” in Appendix B.
Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.
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