(1) TRUE because sales under non manager , the correlation coefficient is 0.35 whereas under manager correlation is -0.42.
(2) TRUE because the correlation is 0.6 which is very highly positive so we can conclude that there is some linear relation between two variables.
(3) TRUE . This is plausible , if p value for slope is greater than the F statistics we accept the null hypothesis otherwise reject the null hypothesis.
1. You are examining the relationships between employee sales and characteristics of employees who work in...
If re.5 between Ads and Sales. In the model Sales- 268 + 7.37 Ads, then Ads explains 50 percent of the variation in Sales True False In the linear regression between Ads and Sales, the p-value of the slope estimate is.042 which is less than a.05; therefore the linear relationship between Ads and Sales is not statistically significant True False
An automobile company in Michigan is interested in the relationship between the gender of their employees and employee productivity. A good starting point in this analysis would be to compute the coefficient of determination and the correlation coefficient. True or False?
If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the Y-Intercept (a) of the regression equation? Use the slope (b) obtained from the previous question to answer this question. Autonomy Job satisfaction (Y) n 8 8 Mean My=4 My 7 Variability SSX-28 SSY - 156 SP-56 Pearson r.85 -10 1 2 pts Question 43 Correlation' is to 'regression' as significance to non significant 'samples are to populations relationship...
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). Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. A manager wishes to determine whether there is a relationship between the number of...
A corporation believes there is a linear relationship between sales revenue and advertising spending (both in $). They hire consultants to help them study this relationship and the model they wish to develop is: revenue=a+b(advertising) The computer output the consultants derive is given below. Estimate Standard Error t P (constant) 167.68 58.94 2.85 0.025 Advertising 23.42 1.37 17.13 <0.001 n-9 R-squared: 0.8767 Find the correlation coefficient between sales revenue and advertising spending. ROUND TO 3 DECIMALS
A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this, the following data was collected: Sales ($) Contacts 25,000 15 16,000 15 28,000 20 60,000 18 80,000 46 35,000 24 85,000 45 80,000 45 95,000 55 110,000 52 Which is the: Independent variable? ___________________ Dependent variable? ___________________ Calculate the coefficient of correlation and interpret the results. Determine both the coefficient of determination and non-determination...
1. A social psychologist conducting a study of the relation between income and generosity observed the amount of money given to a panhandler and determined the wealth of the giver by a rating of the clothing worn. The results for the first four people observed were as follows. (data are fictional) Participant Wealth of Giver Dollars Given 4 3 2 7 A B C 4 6 8 2 What is the correlation coefficient (Pearson's r) describing the relationship between the...
1. You are interested in examining the relationship between BMI (continuous on (continuous variable), and gender (variable"woman" coded as O man and 1 - variable), years of woman) among a sample of 300 25-35 year olds. You first want to estimate a regression model that includes the independent associations of years of education and gender with BMI. Next, you will estimate a model in which gender moderates the association between BMI and years of education a. First, write the equation...
3. The table below shows the regression output of a multiple regression model relating the beginning salaries of employees in a given company to the following independent variables: Sex : an indicator variable (1=man and 0-woman) ducation years of schooling at the time of hire Experience number of months of previous work experience Source Regression Residual Total Df 4 8822,387,82 254,407 92 MS F-value 23.763,297 5,940,82423.35 46,151,118 Coefficient table Variable Constant Sex Education Experience Months t-value 10.94 6.02 3.22 2.16...
The coefficient of linear correlation between the sales and the number of employees is found to be r=-0.66. Which of the following values cannot be the slope of the line of the linear regression? -2.7 . -1.8 -1.9 1.5 QUESTION 28 Management of a soft-drink bottling company wants to develop a method for allocating delivery costs to customers. The manager wants to analyze the relation between the time required to unload the cases of soft drink at the delivery point...