ZuoTi.Pro
Question

A large corporation is interested in predicting a measure of job satisfaction among its em- ployees. They have collected data on 15 employees who each supplied information on job atiaction, level of responsibility, number of people supervised, rating of working envi- ronment, and years of service. The data follow: Satisfaction: 2 2 3 3 5 5 6 6 67 88 8 9 9 Responsibility: 4 2 3 6 2 8 45 8 896 3 7 9 No. Supervised: 5 3 4 7 486 5 9 893 6 9 9 Environment: Years of Service: 5 7 5 3 3 6 3 2 7 35 5 8 81 1 7 3 5 8 5 5 6 47 2 8 7 9

Use SPSS to develop a multiple regression model to predict Satisfaction from the four variables.

math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

1.669

2.032

.822

.430

VAR00002

.605

.428

.624

1.414

.188

VAR00003

-.334

.537

-.311

-.622

.548

VAR00004

.486

.276

.514

1.758

.109

VAR00005

.070

.262

.063

.268

.794

a. Dependent Variable: VAR00001

The multiple regression model to predict Satisfaction using the four variables is thus given by;

Satisfaction=1.6629+.60516*Responsibility-0.3339* No.Supervised+0.48552*Environment+0.07023*Years of service

0 0
Add a comment
Know the answer?
Add Answer to:
Use SPSS to develop a multiple regression model to predict Satisfaction from the four variables. A...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • A software company wants to know whether the job satisfaction levels of its programmers is linked...

    A software company wants to know whether the job satisfaction levels of its programmers is linked to their salary levels. The company provides a written questionnaire to a sample of fifteen programmers to measure their job satisfaction levels on a scale of 1 to 10. The data are shown in the table below. Job Satisfaction (1-10) 1 2 2 3 3 5 6 6 7 7 8 8 9 9 10 Annual Salary (in $1000) 22 20 23 34 38...

  • *Requires use of SPSS* A researcher is interested to learn if the level of interaction a...

    *Requires use of SPSS* A researcher is interested to learn if the level of interaction a women in her 20s has with her mother influences her life satisfaction ratings. Below is a list of women who fit into each of four levels of interaction. Conduct a One-way ANOVA on the data to determine if there are differences between groups; does the level of interaction influence women’s ratings of life satisfaction? Report the results of the One-way ANOVA. If significance is...

  • ***Tutorial/screenshot of how to input this into SPSS! **** 3. A researcher is interested to learn...

    ***Tutorial/screenshot of how to input this into SPSS! **** 3. A researcher is interested to learn if the level of interaction a women in her 20s has with her mother influences her life satisfaction ratings. Below is a list of women who fit into each of four levels of interaction. Conduct a One-way ANOVA on the data to determine if there are differences between groups; does the level of interaction influence women's ratings of life satisfaction? Report the results of...

  • 11.38  Building a multiple linear regression model. Let’s now build a model to predict the life-satisfaction...

    11.38  Building a multiple linear regression model. Let’s now build a model to predict the life-satisfaction score, LSI. (a) Consider a simple linear regression using GINI as the explanatory variable. Run the regression and summarize the results. Be sure to check assumptions. (b) Now consider a model using GINI and LIFE. Run the multiple regression and summarize the results. Again be sure to check assumptions. (c) Now consider a model using GINI, LIFE, and DEMOCRACY. Run the multiple regression and...

  • No price satisfaction design satisfaction performance satisfaction overall customer satisfaction 1 1 2 2 3 2...

    No price satisfaction design satisfaction performance satisfaction overall customer satisfaction 1 1 2 2 3 2 2 2 7 7 3 4 5 5 6 4 4 3 3 6 5 4 6 1 3 6 6 2 7 7 7 2 5 3 4 8 1 2 6 6 9 2 4 3 3 10 7 1 3 7 11 3 7 6 6 12 7 3 2 5 13 5 4 1 3 14 1 2 4 4...

  • Imagine that you are a consultant who is building a statistical model to predict how long...

    Imagine that you are a consultant who is building a statistical model to predict how long a customer will remain with a firm (i.e., customer retention). Research demonstrates that both consumer satisfaction and calculated brand commitment should help predict customer retention. Consumer satisfaction is defined as a customer’s overall evaluation of the performance of a product or service to date.78 Calculated brand commitment is a consumer’s dependence on a brand’s benefits due to a lack of choices or switching costs.79...

  • A company implemented an exercise program to see if it would improve job satisfaction. Job satisfaction...

    A company implemented an exercise program to see if it would improve job satisfaction. Job satisfaction scores for 10 randomly selected workers before and after the program are shown below. Complete parts a) through c) below. Worker 1 2 3 4 5 6 7 8 9 10 Before 40 12 38 13 18 41 28 22 45 11 After 69 27 35 30 19 49 31 25 53 77 Compute the test statistic. t = Compute the P value p=

  • You may either use SPSS for this problem or carry it out using hand calculations. Women...

    You may either use SPSS for this problem or carry it out using hand calculations. Women between 20-25 years of age were randomly selected, then randomly assigned to one of five fitness programs. After six weeks, the physical fitness of each woman was measured (on a scale of 0-25, with higher scores indicating higher fitness). The data are presented below and are also available in SPSS format in the “Course Documents” section of Blackboard (fitness.sav). Fitness data Fitness score Fitness...

  • Regression Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Warranty_Yearsb . Enter a. Dependent Variable:...

    Regression Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Warranty_Yearsb . Enter a. Dependent Variable: Number_of_people_mentioned b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .503a .253 .251 .95930 a. Predictors: (Constant), Warranty_Years ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 80.590 1 80.590 87.574 .000b Residual 237.425 258 .920 Total 318.015 259 a. Dependent Variable: Number_of_people_mentioned b. Predictors: (Constant), Warranty_Years Coefficientsa Model Unstandardized...

  • A hospital would like to develop a regression model to predict the total hospital bill for...

    A hospital would like to develop a regression model to predict the total hospital bill for a patient based on the age of the patient (x1), his or her length of stay (x2), and the number of days in the hospital's intensive care unit(ICU) (x3). Data for these variables can be found below. Complete parts a through e below. a) Construct a regression model using all three independent variables. (Round to the nearest whole number as needed.) b) Interpret the...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT