Using the data set data 7.14, Homacide across States, complete the following.

a. Estimate and report OLS parameter estimates for the equationMr=α+β1exec+β2south+β3ue+β4capital+β5pcy+ε

b. Plot mr on exec, mr on ue, and mr on pcy.

c. Plot the fitted values for mr on exec, mr on ue, and mr on pcy.

d. Plot the errors for errors on exec, errors on ue, and errors on pcy.

e. Do these errors on exec, ue, and pcy indicate homo or hetroskecastic error terms?

f. Propose and implement a test for homoskedastic error terms. What is the name of the test, and are OLS errors homoskedastic or hetroskedastic from your test? You can use GRETL to implement the test.

g. If these are hetroskedastic errors, what are the consequences on the model standard errors and t-statistics?h. Propose and implement an estimation technique to correct for hetroskedastic errors. Report your error correct parameter estimates.

Below is the txt format of the data:

mr exec south ue capital pcy

11.6 0 1 7.5 1 13.53

9 0 0 7.6 0 18.223

8.6 2 0 6.2 1 14.285

10.2 0 1 6.2 1 12.634

13.1 1 0 9.2 1 17.295

5.8 0 0 5.2 1 16.981

6.3 0 0 6.2 1 22.236

5 0 1 5.3 1 17.261

78.5 0 1 8.5 1 23.302

8.9 3 1 7 1 16.311

11.4 2 1 5.8 1 15.205

3.8 0 0 4.2 0 18.566

2.9 0 0 6.1 1 13.833

11.4 0 0 7.4 1 17.82

7.5 0 0 5.3 1 15.176

2.3 0 0 4 1 14.435

6.4 0 0 5 1 15.679

6.6 0 1 6.2 1 13.34

20.3 1 1 7.4 1 13.122

1.6 0 0 7.9 0 14.834

12.7 0 1 6.2 1 18.885

3.9 0 0 6.9 1 19.281

9.8 0 0 7 0 16.259

3.4 0 0 5.1 0 16.571

13.5 0 1 6.3 1 11.647

11.3 4 0 6.4 1 15.448

3 0 0 6 1 13.725

11.3 0 1 4.9 1 14.747

1.7 0 0 4.3 0 13.485

3.9 0 0 2.6 1 15.539

10.4 0 0 7.2 1 18.084

2 0 0 6.6 0 17.66

5.3 0 0 7.4 1 21.229

8 0 0 7.5 1 12.912

13.3 0 0 7.7 1 19.608

6 0 0 6.5 1 15.558

8.4 0 1 6 1 13.449

4.6 0 0 7.2 1 15.353

6.8 0 0 7 1 16.8

3.9 0 0 7.7 0 16.78

10.3 0 1 7.5 1 13.318

3.4 0 0 3.5 1 14.122

10.2 0 1 5.7 1 14.565

11.9 17 1 7 1 15.122

3.1 0 0 3.9 1 12.746

3.6 5 0 5.4 1 15.353

8.3 1 1 5 1 17.103

6.9 0 1 10.8 1 12.772

5.2 0 0 7.5 1 17.199

4.4 0 0 4.7 0 15.645

3.4 0 0 5.4 1 15.576

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