Copy and paste Excel output and answer questions   1. Median Income and Median Home Price in Selected Eastern Cities (n = 34)                           City Income Home   Alexandria, VA 59.976 290.000   Bernards Twp., NJ 112.435 279.900   Brentwood, TN 107.866 338.250   Bridgewater, NJ 93.484 316.000   Cary, NC 77.091 207.000   Centreville, VA 77.243 250.000   Chantilly, VA 94.864 320.000   Chesapeake, VA 53.758 150.000   Collierville, TN 85.716 230.000   Columbia, MD 77.033 199.000   Coral Springs, FL 62.632 218.500   Dranesville, VA 109.502 290.000   Dunwoody, GA 86.971 315.000   Ellicott City, MD 83.583 248.000   Franconia, VA 84.537 290.000   Gaithersburg, MD 64.944 220.000   Hoover, AL 64.431 170.450   Hunter Mill, VA 93.987 290.000   Lower Makefield Twp., PA 102.997 205.000   Manalapan Twp., NJ 91.245 410.000   Marlboro Twp., NJ 108.759 379.975   Matoaca, VA 65.149 135.000   Newtown, CT 97.723 358.500   North Andover, MA 79.169 342.500   Oakton, VA 90.824 341.000   Olney, MD 100.716 287.450   Peachtree City, GA 79.805 214.500   Ramapo, NY 64.954 330.875   Randolph Twp., NJ 104.121 444.500   Reston, VA 85.264 240.000   Roswell, GA 76.530 226.450   Sugarland Run, VA 103.350 278.250   Sully, VA 92.942 290.000   Wellington, FL 76.076 230.000           1) State your a priori hypothesis. Is it reasonable to suppose a cause-and-effect relationship? 2)  Make a scatter plot of Y against X. Discuss what it tells you. 3) Use Excel’s Add Trendline feature to fit a linear regression to the scatter plot. Is a linear model credible? 4) Use Excel to fit the regression model 5)Based on the R square and ANOVA table for your model, how would you assess the fit?

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Copy and paste Excel output and answer questions

 

1.

Median Income and Median Home Price in Selected Eastern Cities (n = 34)

 

     

 

 

 

 

 

 

 

 

 

City

Income

Home

 

Alexandria, VA

59.976

290.000

 

Bernards Twp., NJ

112.435

279.900

 

Brentwood, TN

107.866

338.250

 

Bridgewater, NJ

93.484

316.000

 

Cary, NC

77.091

207.000

 

Centreville, VA

77.243

250.000

 

Chantilly, VA

94.864

320.000

 

Chesapeake, VA

53.758

150.000

 

Collierville, TN

85.716

230.000

 

Columbia, MD

77.033

199.000

 

Coral Springs, FL

62.632

218.500

 

Dranesville, VA

109.502

290.000

 

Dunwoody, GA

86.971

315.000

 

Ellicott City, MD

83.583

248.000

 

Franconia, VA

84.537

290.000

 

Gaithersburg, MD

64.944

220.000

 

Hoover, AL

64.431

170.450

 

Hunter Mill, VA

93.987

290.000

 

Lower Makefield Twp., PA

102.997

205.000

 

Manalapan Twp., NJ

91.245

410.000

 

Marlboro Twp., NJ

108.759

379.975

 

Matoaca, VA

65.149

135.000

 

Newtown, CT

97.723

358.500

 

North Andover, MA

79.169

342.500

 

Oakton, VA

90.824

341.000

 

Olney, MD

100.716

287.450

 

Peachtree City, GA

79.805

214.500

 

Ramapo, NY

64.954

330.875

 

Randolph Twp., NJ

104.121

444.500

 

Reston, VA

85.264

240.000

 

Roswell, GA

76.530

226.450

 

Sugarland Run, VA

103.350

278.250

 

Sully, VA

92.942

290.000

 

Wellington, FL

76.076

230.000

 

 
 

 

 

1) State your a priori hypothesis. Is it reasonable to suppose a cause-and-effect relationship?

2)  Make a scatter plot of Y against X. Discuss what it tells you.

3) Use Excel’s Add Trendline feature to fit a linear regression to the scatter plot. Is a linear model credible?

4) Use Excel to fit the regression model

5)Based on the R square and ANOVA table for your model, how would you assess the fit?

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