A manager wishes to determine whether there is a relationship between the number of years her sales representatives have been with the company and their average monthly sales. The table shows the years of service for each of her sales representatives and their average monthly sales (in thousands of dollars).
The statistic software output for this problem is:
A manager wishes to determine whether there is a relationship between the number of years her...
A manager wishes to determine the relationship between the number of miles (in hundreds of miles) the sales representative travels per month and the amount of sales (in thousands of dollars) per month. The Z-scores for both variables are shown below. Miles: -0.98 -0.77 0.70 0.07 0.28 1.75 -0.77 -1.19 0.91 Sales: -1.14 -1.07 0.62 0.02 0.13 -0.02 -0.50 -0.24 2.20 What is the correlation coefficient? 0.632 0.561 0.717 0.791
A manager wishes to determine the relationship between the number of miles (in hundreds of miles) the manager's sales representatives travel per month and the amount of sales (in thousands of dollars) per month. Find the test statistic. Miles traveled, x= 2, 3, 10, 7, 8, 15, 3, 1, 11 Sales, y= 31, 33, 78, 62, 65, 61, 48, 55, 120 Group of answer choices 1.89 22.062 2.16 .632
A manager wishes to determine the relationship between the number of miles (in hundreds of miles) the manager's sales representatives travel per month and the amount of sales (in thousands of dollars) per month. Find the standard error of estimate, se, given that y=3.53x + 37.92 Miles traveled, x= 2, 3, 10, 7, 8, 15, 3, 1, 11 Sales, y= 31, 33, 78, 62, 65, 61, 48, 55, 120 Group of answer choices 5.122 10.569 22.062 15.951
Part A A marketing manager wishes to determine whether a relationship exists between the number of cereal boxes (Y) sold at the company's retail store and the number of clerks on duty (X) per day. The sample data below will be used to examine this empirical problem. Calculate the slope of the regression line. X Y 3 4 2 4 2 2 1 2 a. 0 b. 1 c. 2 d. None of the above Part 2 Calculate the Y-intercept...
1. A store manager wishes to find out whether there is a relationship between the age of her employees and the number of sick days they take each year. The data for the sample are shown. Age ()18 26 39 48 53 58 Days () 16 12 9 56 2 Draw the scatterplot and describe the association between the two variables. a) b) Is there a significant (nonzero) linear relationship between the age of the employees and the number of...
pts Compute the linear correlation coefficient between the two variables and determine whether a linear relationship exists. х 1 8 -1 18 5 2 y 13 1 3 10 4 8 11 6 3 0 15 2 Or=-0.995; linear relation exists O r=-0.885; no linear relation exists O r=-0.995; no linear relationship exists O r=-0.885; linear relation exists Question 30 4 pts The table lists the drinking habits of a group of college students. If a student is chosen at...
A social scientist wishes to determine whether there is a relationship between the attractiveness scores (on a 100 point scale) assigned to college students by a panel of their peers and their scores on a test of anxiety. What type of research is this?
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places X y 2 1.3 3 1.6 5 2.1 5 2.2 6 2.7 Click the icon to view the critical values table, A 0.983, a linear relation exists OB. r=0.883; a linear relation exists O C 0.883; no linear relation exists O D . r=0.983; no linear relation exists
Question 29 4 pts Compute the linear correlation coefficient between the two variables and determine whether a linear relationship exists. $ 4 X- 11 8 V 18 131 6 7 3 2 10 11 6 60 3 2 15 OP= -0.995;linear relation exists Ors.0.885; no linear relation exists O r.0.995. no linear relationship exists OP=-0.885: linear relation exists Question 30 4 pts The table lists the drinking habits of a group of college students. If a student is chosen at...
A biologist wishes to determine if there is a relationship between temperature and the number of chirps per second of crickets. Below is the data of 15 crickets at various temperatures. Chirps/sec Temperature 20 88.6 16 71.6 19.8 93.3 18.4 84.3 17.1 80.6 15.5 75.2 14.7 69.7 17.1 82 15.4 69.4 16.2 83.3 15 79.6 17.2 82.6 16 80.6 17 83.5 14.4 76.3 Then the linear formula is: Chirps =___+___ *Temperature