Question

Ownership Income 70.2 37860 645 59484 65.7 43619 645 34418 54.8 54014 65.8 53810 Alaska Arizona 682 62731 73.4 49994 43.1 51021 76 43511 641 41220 57.2 53529 72.144658 663 50750 68.6 42185 Connecticut District of Columbia Hawail daho llinois Indiana 694 48601 642 42597 67.7 40544 68.5 70.745382 673 62066 628 57253 71.1 43874 70.1 53970 70.9 32958 68.9 46649 670 38317 672 47475 598 735 62011 63.7 65.7 52.1 48096 66.6 39786 Kansas Kentucky Maryland Massachusetts Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New lersey New Meico 49314 62657 41422 New York North Caralina 629 47955 665 43759 66.4 43758 653 46978 69.0 46052 60.3 70.6 North Dakota Oregon Pennsylvania Rhode sland South Carolina South Dakota Tennessee 49514 38981 664 43706 74 38397 62545355 714 56371 713 50198 673 58381 Utah Virginia Washington West Virginia Wisconsin 632 58272 74.6 38370 67.549117 708 503504 The homeownership rate in the U.S. was 64.2% in 2009. In order to determine if homeownership is linked with income, 2009 state. level data on the homeownership rate (Ownership in %) and median A portion of the data is shown in the accompanying table household income (Income in $) were collected State Alabama Alaska ownership Income 37,860 59,484 eBook 70.2 64.5 Wyoming 70.8 50,350 a-1. Estimate the model Ownership-β0 + β1Income + ε. (Negative values should be indicated by a minus sign. Round your answers to 4 decimal places.) [If you are using R to obtain the output, then first enter the following command at the prompt: options(scipen-10). This will ensure that the output is not in scientific notation.] Income a-2. Interpret the model O For a $1000 increase in income, homeownership rate is predicted to decrease by 0.01%. O For a $1000 increase in income, homeownership rate is predicted to decrease by 0.2%. O For a $1000 increase in income, homeownership rate is predicted to decrease by 0.002%. For a $1000 increase in income, homeownership rate is predicted to decrease by 0.002%. b. What is the standard error of the estimate? (Round your answer to 2 decimal places.)c. Interpret the coefficient of determination. O 2.97% of the sample variation in y is explained by the estimated regression equation. 06.18% of the sample variation in x is explained by the estimated regression equation 04.27% of the sample variation in x is explained by the estimated regression equation O 2.48% of the sample variation in y is explained by the estimated regression equation.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

SUMMARY OUTPUT Rearession Statistics MultipleR 0.172400627 0.029721976 0.009920384 Adjusted R Squar Observations 51 ANOVA Significance F sS 45.77140036 1494.213698 1539.985098 MS 45.77140036 1.500989197 0.226375953 Regression Residual Total 49 30.4941571 50 Coefficients Standard Error P-value er 95% 82.41313747 8.17036E-05 t Stat Lower 95% 3.38184E-19 0.226375953 Interce 62.18948159 5.031823614 0.000104157 14.36880842 INCOME 0.000127608 1.225148643 0.00033692

Y(HAT)= 72.3013- 0.0001*INCOME

FOR A THOUSAND INCREASE IN INCOME, HOME OWNERSHIP RATE IS PREDICTED TO DECREASE BY 0.01%

STANDARD ERROR OF ESTIMATE= 5.52

2.97% OF THE SAMPLE VARIATION IN Y EXPLAINED BY THE ESTIMATED REGRESSION EQUATION.

Add a comment
Know the answer?
Add Answer to:
Ownership Income 70.2 37860 645 59484 65.7 43619 645 34418 54.8 54014 65.8 53810 Alaska Arizona...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

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
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