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4.1 Print 3: Data set 2 4 6 6 7 8 10 14 19 4: Critical values for the correlation coefficient Critical Values for Correlation

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Print 3: Data set 2 4 6 6 7 8 10 14 19 4: Critical values for the correlation coefficient Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0 .666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 n (1) O negative (2) O not greater (3) O a positive O positive O greater O a negative no 12. For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Click the icon to view the data set. 6 Click the icon to view the critical values table. (a) Draw a scatter diagram of the data. Choose the correct graph below. O B. O C. D. 10- 10- 10- OHHHHHHHH 40 (b) Compute the correlation coefficient. The correlation coefficient is r= (Round to three decimal places as needed.) (c) Determine whether there is a linear relation between x and y. Because the correlation coefficient is (1) and the absolute value of the correlation coefficient, is (2) than the critical value for this data set, (3 ) linear relation exists between x and y. (Round to three decimal places as needed.) 5: Data set 7 6 7 9 V 3 6 9 5 6: critical values for the correlation coefficient Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602

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