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 Coefficients Standardized Coefficients t Sig. B Std. Error Beta
1 (Constant) 2.661 .303 8.793 .000 Warranty_Years .532 .057 .503 9.358 .000
a. Dependent Variable: Number_of_people_mentioned
4. a. What is the R square value? (5 pts)
b. What is your interpretation of this R square value? (5 pts.)
c. Add the related SPSS table (5 pts.)
5. a. Is the regression significant? Why/why not? (5 pts.)
b. What does the significance/non-significance of this regression mean? (5 pts.)
c. Add the related SPSS table (5 pts.)
6. a. What do the coefficients B0 and B1 refer to? (5 pts.)
b. According to the output, what are the values of these coefficients? (5 pts.)
c. Are the coefficients significant? (5 pts.)
d. What does the significance/non-significance of the coefficients mean? (5 pts.)
e. Add the related SPSS table (5 pts.)
7. What is the effect of the warranty time (years) on the number of people to whom customers tell about the retailer store? (5 pts.)
8. According to the results of the regression analysis, what is the regression equation to predict different values of number of people to whom customers mention about the retailer store based on the warranty time (years)? (5 pts.)
9. Predict the total number of people to whom the retailer store is mentioned when the warranty time (years) is:
a. 7 (5 pts.)
b. 8 (5 pts.)
c. 9 (5 pts.)
(Show all your work!)
Homework Answers
a. What is the R square value?
From the output, it is can be seen that R-square value is 0.654.
What is your interpretation of this R square value?
The R square value indicates that 65.4% variation in the dependent variable (total products sold) is explained by the independent variables (products in a bundle).
Which one is the related SPSS table
The model summary
a. Is the regression significant? Why/why not?
Yes, the regression is significant because Sig value corresponding to F is less than 0.001
What does the significance/non-significance of this regression mean
The significance of this regression means that the regression model predicts the dependent variable significantly well.
Which one is the related SPSS table
ANOVA
a. What do the coefficients B0 and B1 refer to?
B0 refers to the y intercept of the regression equation.
B1 refers to the slope of the regression equation
According to the output, what are the values of these coefficients?
B0 = 0.972
B1 = 0.804
Are the coefficients significant?
B0 is significant as Sig. value corresponding to it is less than 0.001
B1 is significant as Sig. value corresponding to it is less than 0.001
What does the significance/non-significance of the coefficients mean?
The significance of the B1 mean that the number products in a bundle is significant predictor of total products sold.
Which one is the related SPSS table
Coefficients table
What is the effect of the number of products in a bundle on total products sold?
Since the value of regression coefficient corresponding to the number of products in a bundle is positive, it has positive impact on the total products sold.
According to the results of the regression analysis, what is the regression equation to predict different values of total products sold based on the number of products in a bundle?
Regression is given as follows:
Total products sold = 0.972 + 0.804*The number of products in a bundle
Predict the total number of products sold when the number of products bundled is:
If the number of products bundled is 10:
Estimated total products sold = 0.972 + 0.804*10
Total products sold = 9.012
If the number of products bundled is 15 is
Estimated total products sold = 0.972 + 0.804*15
Estimated total products sold = 13.032
If the number of products bundled is 20 is
Estimated total products sold = 0.972 + 0.804*20
Estimated total products sold = 17.052
Add Answer to:
Regression
Variables Entered/Removeda
Model Variables Entered Variables Removed Method
1 Warranty_Yearsb . Enter
a. Dependent Variable:...
From the three three Regression tests, come up with three hypotheses. Regression Method Variables Entered/Removeda Variables...
From the three three Regression tests, come up with three
hypotheses.
Regression Method Variables Entered/Removeda Variables Model Variables Entered Removed 1 TotElectb a. Dependent Variable: Variety Seeking b. All requested variables entered. Enter Model Summary Adjusted R R Square Square .009 .002 Model R Std. Error of the Estimate .64205 1 .0958 a. Predictors: (Constant), TotElect Coefficients a Standardized Coefficients Model Unstandardized Coefficients B Std. Error 3.667 . 108 Beta t Sig. .000 1 (Constant) 34.075 TotElect .008 .007 .095...
please help with step by step calculations Variables Entered/Removed Variables Removed Model Variables Entered) Method contraception...
please help with step by step calculations
Variables Entered/Removed Variables Removed Model Variables Entered) Method contraception use (%) Enter a. All requested variables entered. b. Dependent Variable: fertility rate per woman Model Summary Std. Error of the Estimate Model R .71764 Adjusted R2 Square .469 220 168 a. Predictors: (Constant), contraception use %) ANOVA Model Sum of Squares Idf Regression 2.177 Residual 7.725 Total 9.902 Mean Square 2.177 .515 a. Predictors: (Constant), contraception use (%) b. Dependent Variable: fertility rate...
Models 1-7 are below Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% p...
Models 1-7 are below
Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% prediction interval for reading ability When age 6, mem span 4.2 and ig 91. Regression [DataSetll C:\Usersn.little5773 Downloads\child data.sav Variables Entered/Removed Variables Entered Variables Removed Method Model Enter age a. Dependent Variable: reading ability b. All requested variables entered. Model Summary Adjusted R Square Std. Error o R...
A researcher uses two regression models to seek answers to two research questions. These models a...
A researcher uses two
regression models to seek answers to two research questions. These
models are:
Y1 = Bo1 + B11X1
Y2 = Bo2 + B12X1 + B22X12
Test the null hypotheses for both models. Use the results of
your analyses to recommend an appropriate model. In each of the
above two cases, state your null and alternative hypotheses,
decision criteria, decision and conclusion.
The level of significance is 5%. The data for this study are
presented in the table...
how much data variation is explained Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x...
how much data variation is explained
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476 440 15.3096 a Predictors (Constant, 12, x ANOVA
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476...
Dummy Variable Regression: Choose any metric variable as the dependent variable (you can use the ...
Dummy Variable Regression: Choose any metric variable as the
dependent variable (you can use the same one that you used in Part
A) and choose gender as an independent variable. Also choose one
more metric variable as an additional independent variable. Once
again, however, you must sort through the metric independent
variables until you find one that, along with gender, produces a
significant F-calc. Use alpha = .05 here as well. You
only need to report the model that produced...
Model Summary Change Statistics Adjusted Std. Enor of R Square Model R R Square Square the Estimate 657 432 29042057161...
Model Summary Change Statistics Adjusted Std. Enor of R Square Model R R Square Square the Estimate 657 432 2904205716161 4 32 a. Predictors: (Constant, eigencentrality, Average 15All optimice_threshold_b F Changed 3.0393 Sig F Change .071 12 ANOVA Sig 071 Sum of Model Squares Mean Square Regression 1.612 537 3.099 Residual 2.12) 12 Total 3.735 a Dependent Variable: average_MSEMSE b. Predictors: (Constant. eigencentrality Average 15Aoptimized_threshold_b Coefficients Standardized Coeficients Beta Collinearity Stanisses Tolerance Model Sia 000 Unstandardized Coeficients B Sid Error...
Linear regression analysis of the data revealed the following: Model Summary Model R R Square Adjusted...
Linear regression analysis of the data revealed the following: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .695a .483 .478 13.02473 a. Predictors: (Constant), exercise, gender, subject's age, depressed state of mind ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 65230.870 4 16307.718 96.129 .000b Residual 69893.149 412 169.644 Total 135124.019 416 a. Dependent Variable: Life Purpose and Satisfaction b. Predictors: (Constant), exercise, gender, subject's age, depressed state of...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admission...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admissions department of a small liberal arts college. You wonder if you can predict students' college grade point averages (GPAs) by their SAT scores. You randomly select 50 recent graduates and collect their SAT scores and college GPAs. You use a statistical software package to run a regression predicting college GPA from SAT score. Use the following output to answer the questions that follovw Descriptive Statistics...
Investigate the relationship between the respondent’s education (EDUC) and the education received...
Investigate the relationship
between the respondent’s education (EDUC) and the education
received by his or her father and mother (PAEDUC and MAEDUC,
respectively). Calculate the correlation coefficient, the
coefficient of determination, and the regression equation
predicting the respondent’s education with father’s education only.
Interpret your results. Determine the multiple correlation
coefficient, the multiple coefficient of determination, and the
regression equation predicting the respondent’s education with
father’s and mother’s education. Interpret your results. Did taking
into account the respondent’s mother’s education...
From the three three Regression tests, come up with three
hypotheses.
Regression Method Variables Entered/Removeda Variables Model Variables Entered Removed 1 TotElectb a. Dependent Variable: Variety Seeking b. All requested variables entered. Enter Model Summary Adjusted R R Square Square .009 .002 Model R Std. Error of the Estimate .64205 1 .0958 a. Predictors: (Constant), TotElect Coefficients a Standardized Coefficients Model Unstandardized Coefficients B Std. Error 3.667 . 108 Beta t Sig. .000 1 (Constant) 34.075 TotElect .008 .007 .095...
please help with step by step calculations
Variables Entered/Removed Variables Removed Model Variables Entered) Method contraception use (%) Enter a. All requested variables entered. b. Dependent Variable: fertility rate per woman Model Summary Std. Error of the Estimate Model R .71764 Adjusted R2 Square .469 220 168 a. Predictors: (Constant), contraception use %) ANOVA Model Sum of Squares Idf Regression 2.177 Residual 7.725 Total 9.902 Mean Square 2.177 .515 a. Predictors: (Constant), contraception use (%) b. Dependent Variable: fertility rate...
Models 1-7 are below
Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% prediction interval for reading ability When age 6, mem span 4.2 and ig 91. Regression [DataSetll C:\Usersn.little5773 Downloads\child data.sav Variables Entered/Removed Variables Entered Variables Removed Method Model Enter age a. Dependent Variable: reading ability b. All requested variables entered. Model Summary Adjusted R Square Std. Error o R...
A researcher uses two
regression models to seek answers to two research questions. These
models are:
Y1 = Bo1 + B11X1
Y2 = Bo2 + B12X1 + B22X12
Test the null hypotheses for both models. Use the results of
your analyses to recommend an appropriate model. In each of the
above two cases, state your null and alternative hypotheses,
decision criteria, decision and conclusion.
The level of significance is 5%. The data for this study are
presented in the table...
how much data variation is explained
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476 440 15.3096 a Predictors (Constant, 12, x ANOVA
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476...
Dummy Variable Regression: Choose any metric variable as the
dependent variable (you can use the same one that you used in Part
A) and choose gender as an independent variable. Also choose one
more metric variable as an additional independent variable. Once
again, however, you must sort through the metric independent
variables until you find one that, along with gender, produces a
significant F-calc. Use alpha = .05 here as well. You
only need to report the model that produced...
Model Summary Change Statistics Adjusted Std. Enor of R Square Model R R Square Square the Estimate 657 432 2904205716161 4 32 a. Predictors: (Constant, eigencentrality, Average 15All optimice_threshold_b F Changed 3.0393 Sig F Change .071 12 ANOVA Sig 071 Sum of Model Squares Mean Square Regression 1.612 537 3.099 Residual 2.12) 12 Total 3.735 a Dependent Variable: average_MSEMSE b. Predictors: (Constant. eigencentrality Average 15Aoptimized_threshold_b Coefficients Standardized Coeficients Beta Collinearity Stanisses Tolerance Model Sia 000 Unstandardized Coeficients B Sid Error...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admissions department of a small liberal arts college. You wonder if you can predict students' college grade point averages (GPAs) by their SAT scores. You randomly select 50 recent graduates and collect their SAT scores and college GPAs. You use a statistical software package to run a regression predicting college GPA from SAT score. Use the following output to answer the questions that follovw Descriptive Statistics...
Investigate the relationship
between the respondent’s education (EDUC) and the education
received by his or her father and mother (PAEDUC and MAEDUC,
respectively). Calculate the correlation coefficient, the
coefficient of determination, and the regression equation
predicting the respondent’s education with father’s education only.
Interpret your results. Determine the multiple correlation
coefficient, the multiple coefficient of determination, and the
regression equation predicting the respondent’s education with
father’s and mother’s education. Interpret your results. Did taking
into account the respondent’s mother’s education...
Most questions answered within 3 hours.
-
Q1b. Provide an example of how pricing should interact
with the services offered by the retailer.
asked 24 minutes ago -
a mass weighing 8 pounds when attached to a spring, stretches
it 6 inches.the object is...
asked 31 minutes ago -
The following is part of the computer output from a regression
of monthly returns on Waterworks...
asked 36 minutes ago -
Bob Katz is purchasing a new Honda Pilot for $35,000. He is
financing $30,000 with a...
asked 39 minutes ago -
The equity holders of Super Nova, Inc. have 100 million of
equity in the firm. Because...
asked 39 minutes ago -
A sample of 240 observations is selected from a normal
population with a population standard deviation...
asked 55 minutes ago -
Write an (efficient) pseudocode for the implementation of each
of the following function prototypes (proper C...
asked 54 minutes ago -
Klingon Widgets, Inc., purchased new cloaking machinery three
years ago for $5.6 million. The machinery can...
asked 58 minutes ago -
Social work's goal of social betterment implies
A. That social workers should be models of good...
asked 55 minutes ago -
a
12 kg box sits on a horizontal table. a string with tension 30.4 N
pulls...
asked 57 minutes ago -
A circular coil of radius 0.120 m contains a single turn and is
located in a...
asked 1 hour ago -
help me out
Velocity v = גf, wavelength ג = v/f and
Relative frequency = frequency...
asked 1 hour ago