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Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each

 

Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. 1.0 3.7 10- 1.0 8.0 2.0 5.9 10 2.0 6.6 3.0 6.9 3.0 7.5 7. 4.0 4.8 4.0 5.9 6- 6- 34 5.0 5.4 5.0 6.5 4- 6.0 4.6 6.0 8.6 24 7.0 5.3 24 5.2 7.0 8.0 6.8 89 10 11 8.0 3.4 $9 10 11 9.0 9.1 9.0 4.2 Figure 2 Figure 1 10.0 7.5 10.0 2.9 1.0 10.0 B.2 - 104 2.0 4.8 1.0 104K 2.0 9.0 3.0 8.0 3.0 9.5 4.0 7.0 4.0 5.8 5.0 2.1 5.0 6.0 6.0 5.0 6.0 4.7 34 7.0 4.0 7.0 8.8 8.0 3.0 8.0 3.6 9.0 2.0 Figure 4 9.0 9.1 Figure 3 10.0 1.0 10.0 7.2 2onse mau he thocorractancwerfor more than one.ariactinn oolo oS ololo lo0 www-awn.aleks.com/alekscgi/x/Isl.exe/1o_u-lgNslkr7j8P3jH-IBGBIH_OB3uhhqwxlXoS5SIQhuX6YjFjUgDFRvhXH9relMzlvv23_Pp32u8TfsHP_jUm65AJtEEbAJNv_rSkUZovRdKKoq?1oBw7QYjlbavbSPXtx-YCjsh_7mMmrc O CORRELATION AND SIMPLE LINEAR REGRESSION Emmanuel V Linear relationship and the sample correlation coefficient 3.2 1.0 10.0 11 11 10 10- 2.0 9.0 2.0 4.8 3.0 8.0 3.0 9.5 4.0 5.8 4.0 7.0 5.0 6.0 5.0 2.1 6.0 4.7 3. 6.0 5.0 3-+ 2. 7.0 4.0 7.0 8.8 An + 12 345 8.0 3.6 8.0 3.0 6 7 8 910 11 0 1 2 3 45 6 7 8 9 10 11 9.0 9.1 9.0 2.0 Figure 4 Figure 3 10.0 1.0 10.0 7.2 Answer the following questions. The same response may be the correct answer for more than one question. 1. Which data set indicates a perfect negative linear relationship between its two variables? Choose one 2. Which data set has an apparent negative, but not perfect, linear relationship between its two variables? Choose one 3. In which data set is there evidence of a strong nonlinear relationship between the two variables? Choose one 4. Which data set indicates the strongest positive linear relationship between its two variables? Choose one C2020 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy Accessibility Check Explanation Type here to search 88 270 47 24 II

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