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Incarceration rates vary from state to state.We must remember that correlation i

ID: 3155393 • Letter: I

Question

Incarceration rates vary from state to state.We must remember that correlation is not causation but we can ask: “what state level factors might be associated with the state incarceration rate?

I drew a sample of 17 states using a systematic random sampling method (Chapter 7). Using data from the Bureau of Justice Statistics, the Kaiser Foundation and the FBI, I gathered published data on:

Incarceration Rate per 100,000 Adults (2013)

Median State Income (2010-2013)

Total Crime Rate from Uniform Crime Reports (Violent crime and Property crime)

Before you look at the data (on the next page), state an appropriate null and research hypothesis concerning the relationship between Incarceration Rate and each of the two independent variables.

Which of these predicted relationships do you expect to be strongest?Why?

For each of these relationships, calculate:

The prediction equation (least squares line)

The Coefficient of Determination

Pearson’s r

Would multiple regression be a useful statistical tool for further analysis of these data?Why or why not?You do not need to do any calculations.

Incarceration Rate

Median

Violent Crime

Prop crime

Total crime

per 100,00 Adults

Income

Rate

Rate

Rate

2013

2010-2013

2012

2012

2012

State

Alabama

910

43330

449.9

3502.2

3952.1

Arkansas

1010

40877

469.1

3660.1

4129.2

Connecticut

620

67807

283

2140

2423

Florida

990

47106

487.1

3276.7

3763.8

Idaho

860

49952

207.9

1983.5

2191.4

Iowa

530

53364

263.9

2271.8

2535.7

Louisiana

1420

40844

496.9

3540.6

4037.5

Massachusetts

400

64555

405.5

2153

2558.5

Mississippi

950

40338

260.8

2811

3071.8

Nebraska

600

55107

259.4

2754.9

3014.3

New Jersey

540

65321

290.2

2047.3

2337.5

North Carolina

730

44254

353.4

3369.5

3722.9

Oklahoma

740

47282

469.3

3401

3870.3

Rhode Island

400

55158

252.4

2572.3

2824.7

Tennessee

960

42785

643.6

3371.4

4015

Vermont

410

56175

142.6

2398.7

2541.3

West Virginia

660

43361

316.3

2364.9

2681.2

Mean

748.82

50448.00

355.96

2801.11

3157.07

SD

273.52

9056.11

130.62

601.63

703.41

Incarceration Rate

Median

Violent Crime

Prop crime

Total crime

per 100,00 Adults

Income

Rate

Rate

Rate

2013

2010-2013

2012

2012

2012

State

Alabama

910

43330

449.9

3502.2

3952.1

Arkansas

1010

40877

469.1

3660.1

4129.2

Connecticut

620

67807

283

2140

2423

Florida

990

47106

487.1

3276.7

3763.8

Idaho

860

49952

207.9

1983.5

2191.4

Iowa

530

53364

263.9

2271.8

2535.7

Louisiana

1420

40844

496.9

3540.6

4037.5

Massachusetts

400

64555

405.5

2153

2558.5

Mississippi

950

40338

260.8

2811

3071.8

Nebraska

600

55107

259.4

2754.9

3014.3

New Jersey

540

65321

290.2

2047.3

2337.5

North Carolina

730

44254

353.4

3369.5

3722.9

Oklahoma

740

47282

469.3

3401

3870.3

Rhode Island

400

55158

252.4

2572.3

2824.7

Tennessee

960

42785

643.6

3371.4

4015

Vermont

410

56175

142.6

2398.7

2541.3

West Virginia

660

43361

316.3

2364.9

2681.2

Mean

748.82

50448.00

355.96

2801.11

3157.07

SD

273.52

9056.11

130.62

601.63

703.41

Explanation / Answer

Incarceration Rate vs median income and Violent Crime Regression Statistics Multiple R 0.686539 R Square 0.471336 Adjusted R Square 0.405253 Standard Error 215.9203 Observations 19 ANOVA df SS MS F Significance F Regression 2 665054.6 332527.3 7.13248 0.006102 Residual 16 745944.9 46621.56 Total 18 1411000 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 415.0107 237.713 1.745848 0.100006 -88.9184 918.9397 X Variable 1 -0.00358 0.003985 -0.8972 0.382913 -0.01202 0.004873 X Variable 2 1.398994 0.381056 3.67136 0.002063 0.591191 2.206797 Incarceration Rate vs Prop crime and Violent Crime Regression Statistics Multiple R 0.750632 R Square 0.563449 Adjusted R Square 0.50888 Standard Error 196.21 Observations 19 ANOVA df SS MS F Significance F Regression 2 795025.9 397513 10.32545 0.001319 Residual 16 615973.6 38498.35 Total 18 1411000 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 8.177256 169.9133 0.048126 0.962211 -352.023 368.3774 X Variable 1 0.540953 0.537336 1.00673 0.329048 -0.59815 1.680055 X Variable 2 0.197177 0.09453 2.085868 0.05336 -0.00322 0.397571