Correct answer is- D)0.224
17. Explain how you found the linear correlation coefficient. Find the value of the linear correlation...
4:13 7 11 Exit O 2 PM Question 20 5 pts The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 Find the value of the correlation coefficient r for this data. 0.224 0.678 -0.224 -0.678 Question 21 5 pts Determine which plot shows the strongest linear correlation.
Find the value of the linear correl ation coefficient r. 25) The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours | 5 10 4 6 10 9 Score 64 86 69 86 59 87
14) Fill in the Blank. Find the value of the linear correlation coefficient (Round off to three decimals). The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Show your work on your own paper to earn the credit. If you use a TI-83/84, just indicate which function you have selected. Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 Question...
Use the given information to complete the test to determine if there is significant linear correlation between numbers of hours a student spent preparing for a test and test scores. Use a significance level of 0.05. 1) The test scores of 6 randomly picked students and the numbers of hours they prepared are 1) as follows: Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 The equation of the regression line is y = 1.06604x...
13) Find the value of the linear correlation coefficient r. Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance 59 | 63 | 65 | 69 58 | 77 | 76 69 | 70 64 Attitude 72 67 78 82 75 87 92 83 | 87 78 A. The linear correlation coefficient r is: (rounded to 3 decimal places) B. Using the above data to find the equation of...
Show all your work as needed for full credit (20 points each). Use the given information to complete the test to determine if there is significant linear correlation between numbers of hours a student spent preparing for a test and test scores. Use a significance level of 0.05. 1) 4 1) The test scores of 6 randomly picked students and the numbers of hours they prepared are as follows: Hours 5 10 6 10 9 Score 64 86 69 86...
Show all your work as needed for full credit (20 points each). Use the given information to complete the test to determine if there is significant linear correlation between numbers of hours a student spent preparing for a test and test scores. Use a significance level of 0.05. 1) 4 1) The test scores of 6 randomly picked students and the numbers of hours they prepared are as follows: Hours 5 10 6 10 9 Score 64 86 69 86...
1.Find the linear correlation coefficient for the paired data: (5,64), (10,86), (4,69), (6,86), (10,59), (9,87). 0.333 0.678 -0.224 0.750 0.999 -0.678 0.975 0.224 21. 2.Find the linear correlation coefficient for the paired data: (46.6,8), (27.2,8), (43.1,3), (29.0,9), (34.8,2). 0.2730 -0.181 0.543 0.307 -0.273 -0.307 -0.273 3. Find the equation of the regression line for the paired data: (6,2), (8,4), (20,13), (28,20), (36,30). y = -3.79x + 0.897 y = -3.79 + 0.897 y = -2.79 + 0.897x y = 0.897x...
Find the value of the linear correlation coefficient A study was conducted to compare the average time spent in the lab each week versus course grade 7) for computer programming students. The results are recorded in the table below. 51 16 15 16 10 81 51 C) 0.462 A) 0017 B)-0.284 D) -0.335 8) Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below iertonnance 59 |의 65169 ↓ 5 7...
What are the steps for the correct answer? Find the value of the linear correlation coefficient r. The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands) 35 83 Cost 92 3 4259 10 Number 85 52 55 68 67 86 83 73 O A.-0.071 O B. 0.708 O c. 0.235 OD. 0.246