Question

In: Statistics and Probability

What is the estimated regression equation using Account Balance as the dependent variable, and Income, Years of Education, as well as Size of Household as the independent variable?

 

Regression Statistics      
Multiple R 0.878541582      
R Square 0.771835311      
Adjusted R Square 0.75472296      
Standard Error 552.6878046      
Observations 44      
         
ANOVA        
  df SS MS F
Regression 3 41332908 13777636 45.10399
Residual 40 12218552 305463.8  
Total 43 53551461    
         
  Coefficients Standard Error t Stat P-value
Intercept 2095.365223 841.1044 2.491207 0.016979
Income 51.95408819 5.100341 10.1864 0.00
Years of Education 288.9485028 56.13512 5.147375 0.00
Size of Household 207.4655622 121.5576 1.706727 0.095626
  1. What is the estimated regression equation using Account Balance as the dependent variable, and Income, Years of Education, as well as Size of Household as the independent variable?

b. Comment on the goodness of fit of the model using the coefficient of determination.

c. Conduct an F test with the critical value approach to see whether the overall model is significant. Use α = 0.01.

d. Perform a t test with p-value approach for the significance of the Income variable. Use α = 0.05.

e. Perform a t test with the p-value approach for the significance of the Size of Household variable. Use α = 0.05.

f. Estimate the Account Balance of a customer who has an income of $62 thousand, 14 years of education, and a household size of 3.

 

Solutions

Expert Solution

a). Regression equation:

b) Coefficient of determination, R2 = 0.7718

adjusted R2 = 0.7547

Around 75.47% of the variability of Account balance can be explained by the linear relationship.

It is a good fit.

c) Test statistic, F = 45.10399

p-value = F.DIST.RT(45.10399, 3, 40) = 0.00

As p-value = 0 <0.01, we reject the null hypothesis.

The model is significant.

d) T-test for income variable, t = 10.1864

and p-value = 0.00

As p-value = 0 < 0.05, we reject the null hypothesis.

The independent variable income is significant.

e) T-test for Size of Household variable, t =1.706727

and p-value = 0.0956

As p-value = 0.0956 > 0.05, we fail to reject the null hypothesis.

The independent variable income is not significant.

f) Estimated Account Balance of a customer who has an income of $62 thousand, 14 years of education, and a household size of 3.


Related Solutions

Assume one has estimated a regression equation of salary (dependent variable) against years of education independent...
Assume one has estimated a regression equation of salary (dependent variable) against years of education independent variable). How would one go about expanding the regression model to also estimate the gender effect (i.e., the average difference between male and female salary, given the same level of education? Explain how you would construct the additional variable and how you would interpret it, given how you construct it. How would you construct a hypothesis test to determine if the estimated gender-based differential...
Develop an estimated regression equation with annual income and household size as the independent variables. Discuss...
Develop an estimated regression equation with annual income and household size as the independent variables. Discuss your findings - Income ($1000s) Household Size Amount Charged ($) 54 3 4,016 30 2 3,159 32 4 5,100 50 5 4,742 31 2 1,864 55 2 4,070 37 1 2,731 40 2 3,348 66 4 4,764 51 3 4,110 25 3 4,208 48 4 4,219 27 1 2,477 33 2 2,514 65 3 4,214 63 4 4,965 42 6 4,412 21 2 2,448...
Develop estimated regression equations, first using annual income as the independent variable and then using household...
Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings - Income ($1000s) Household Size Amount Charged ($) 54 3 4,016 30 2 3,159 32 4 5,100 50 5 4,742 31 2 1,864 55 2 4,070 37 1 2,731 40 2 3,348 66 4 4,764 51 3 4,110 25 3 4,208 48 4 4,219 27...
Develop estimated regression equations, first using annual income as the independent variable and then using household...
Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings - Income ($1000s) Household Size Amount Charged ($) 54 3 4,016 30 2 3,159 32 4 5,100 50 5 4,742 31 2 1,864 55 2 4,070 37 1 2,731 40 2 3,348 66 4 4,764 51 3 4,110 25 3 4,208 48 4 4,219 27...
Account Balance Income Years of Education Size of Household 8976 63 12 2 8308 37 14...
Account Balance Income Years of Education Size of Household 8976 63 12 2 8308 37 14 2 10028 52 16 2 11256 64 15 4 9869 47 17 2 10194 74 15 2 8706 49 12 2 9557 58 14 2 10565 70 16 3 9434 69 11 3 9687 25 18 3 9490 57 15 1 8806 46 14 3 9561 48 16 2 11757 80 15 3 9406 66 14 2 11150 46 15 3 7671 28 12...
Account Balance Income Years of Education Size of Household 8976 63 12 2 8308 37 14...
Account Balance Income Years of Education Size of Household 8976 63 12 2 8308 37 14 2 10028 52 16 2 11256 64 15 4 9869 47 17 2 10194 74 15 2 8706 49 12 2 9557 58 14 2 10565 70 16 3 9434 69 11 3 9687 25 18 3 9490 57 15 1 8806 46 14 3 9561 48 16 2 11757 80 15 3 9406 66 14 2 11150 46 15 3 7671 28 12...
a. If they are going to run a linear regression, identify which variable should be the independent variable and which should be the dependent variable in a regression equation.
In seeking to determine how influential advertising is, the management of a recently established retail chain collected data on sales revenue and advertising expenditure from its' stores over the last ten (10) weeks. The table below shows the data collected: Advertising Expenditure ($ 000) Sales ($ 000) 3 5 76 50 250 700 450 3.5 75 4 150 4.5 7 200 750 7.5 800 8.5 1,100 a. If they are going to run a linear regression, identify which variable should...
You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of...
You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of the market (as an independent variable). The R-squared of this regression is 0.2, and the total variance of ExxonMobil's returns in the estimation window is 0.0625. In this case, the variance of the unsystematic (or idiosyncratic) component of ExxonMobil's returns is:
1.) Use Excel to plot the dependent vs the independent variable. Show the regression equation from...
1.) Use Excel to plot the dependent vs the independent variable. Show the regression equation from the computer output. Lannie Karner- GPA 3.6 Income 75k Courtney Sheperd Gpa 3.3 Income 74K Zenobia Roussel- GPA 2.9 Income 66K Elaine Doody- GPA 3.8 Income 80k Maudie Hocker-GPA 3.1 Income 65k Rick Hoover-GPA 3.2 Income 53k Franinca Ortez-GPA 2.7 Income 65k Li Kinder-GPA 3.3 Income 71k Brad Clem-GPA 3.8 Income 80k Soon Nettleton-GPA 4.0 Income 95k Vertie Yousesef-GPA 3.9 Income 110k Love Au-GPA...
What type of relationship between a dependent and independent variable is described by linear regression? A....
What type of relationship between a dependent and independent variable is described by linear regression? A. An exponential relationship B. A parabolic relationship C. A threshold effect D. A linear relationship
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT