The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Draw a scatter diagram of the data. Does a linear relation exist between the commute time and well-being index score, when the linear correlation coefficient is -0.991? Commute Time (in minutes) Well-Being Score 4 69.2 16 68.9 23 67.9 34 67.7 53 66.3 74 65.2 95 63.1.
The data in the table to the right are based on the results of a survey...
6). a.b.b. The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Click the icon to view the critical values for the correlation coefficient. Commute Time (in minutes) Well-Being Score 5 69.5 16 68.9 27 67.5 34 67.4 47 66.9 68 65.9 97 63.9 (a) Which variable is likely the explanatory variable and which is...
2. The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Determine the linear correlation coefficient between commute time and well-being score. Round your answer to three decimal places. Commute Timelin minutes) Well-Being Score 13 72 15 71 20 70 30 69 40 67 50 65 60 63
The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Click the icon to view the critical values for the correlation coefficient Commute Time (in minutes) Well Being Score 5 69.5 14 68.5 23 67.9 37 67.4 48 66.5 65 65.2 103 63.2 (a) Which variable is likely the explanatory variable and which is the...
Draw a scatter diagram of the data. Which of the following represents the data? OA OB O C. Ο D. 110 110 60 70 110 110 Critical Values for Correlation Coefficient 3 0.997 4 0.950 5 0.878 辟稳ぷ2 11 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 The data in the table to the right are based on the results of a survey comparing the commute time of adults to Commute their score on...
3. The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Write the regression equation Commute Time(in minutes) Well-Being Score 13 72 15 71 20 70 30 69 40 67 50 65 60 63
Ordings The data below represent commute times in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), X 5 20 25 35 60 72 105 Well-Being Index Score, y 68.9 67.1 66.3 65.4 63.0 62.6 58.9 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. (Round to three decimal places as needed.) 2 Enter your answer in the...
Commute Time (in minutes) Well-Being Score 6 69.9 14 68.4 26 67.6 34 67.1 47 66.5 73 65.2 105 63.5 (a) Which variable is likely the explanatory variable and which is the response variable? A. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. B. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. C....
The data below represent commute times (in minutes) and scores on a well-being survey. Commute Time (minutes), x 5 20 25 40 50 84 105 Well-Being Index Score, y 69.2 68.0 67.4 66.6 66.2 65.1 63.3 Given that r = -0.9841, Sx = 35.981, Sy = 1.942. a) Find the equation for the regression line. b) Interpret the slope and y-intercept. c) Find the predicted value of index score when x = 40. Find the residual for the value of...
2 62.8 MEAN = 3 71.9 MEDIAN = 4 69.6 MODE= 5 74.1 RANGE = 6 66.6 MIN. = 7 76.5 MAX.= 8 66.4 STDEV. = 9 73.1 MY HEIGHT =67.00 10 71.6 Z SCORE FOR MY HEIGHT = 11 69.3 12 64.0 13 70.9 14 62.2 15 63.3 16 67.7 17 65.2 18 64.2 19 69.4 20 71.7 21 64.6 22 69.0 23 71.3 24 69.1 25 71.6 26 75.9 27 66.2 28 67.4 29 64.6 30 69.6 31...
The following data represent the commute time (in minutes) x and a score on a well-being survey y. The equation of the least-squares regression line is ModifyingAbove y with caret equals negative 0.0487 x plus 70.1284y=−0.0487x+70.1284 and the standard error of the estimate is 0.52940.5294. Complete parts (a) through (e) below. x 2525 3535 4545 5555 7070 9292 125125 y 69.069.0 68.668.6 67.567.5 67.367.3 66.566.5 66.666.6 63.663.6 (a) Predict the mean well-being index composite score of all individuals whose commute...