Analysis of the Regression Results Basic Questions: III.1) List (and label) the

Question

Analysis of the Regression Results Basic Questions: III.1) List (and label) the dependent variable and the independent variables. IIL.2) Based on the regression results, if a county's percent of families headed by a female, with no spouse present increases by one, by how much (and in what direction) does MedInc change (all else equal)? IIL.3) What is the predicted Medinc for a county, where HSDegree -70, BADegree- 15, FemHead 10 and MedAge 32? (Hint: This is all done in one calculation to get a single prediction; you do not get a separate prediction for each explanatory variable.) IIL.4) What proportion of the variation in MedInc is explained by our regression model (variations in all of our explanatory variables)? Statistical Inference Questions: IIL.5) At the ten percent significance level, does a higher percent of families headed by a female, with no spouse present, lead to lower median income for the county? Use the standard critical value IIL.6) At the five percent significance level, is there evidence that a county's median age affect a county's lead to higher median income for a county? Use the P-Value approach and show all steps. approach and show all steps. median income? Use the standard critical value approach and show all steps. III.7) At the one percent significance level, does a higher percent of the population with a Bachelor's degree IIL.8) Provide the upper and lower bounds for a 90 percent confidence interval estimate for the effect a county's median age on the county's median income.

Explanation / Answer

1) Here dependent Variable is MedInc($)

independent Variables are

1) HS Degree(%)

2)BS Degree(%)

3) FemHead

4) Med Age

For Question 2 - 8

We need Full regression

You need to do regression like that one dependent variable and 4 independent variables so we will give your answer

Becuase you used only one independent variable which HSDegree

Please use all the independent variable in Regression and fit model then send us we will give you all the answer.

Or

Send data set so we will do that

Best Luck :)

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