SAS data project help

I have a SAS data project and I need help with it.
Below is the details of the project. Let me know if you know how to solve it:

Estimate the determinants of the change in total population in US counties over 2010-2017. Your sample consists of one hundred counties.

1. First, run linear regressions for the two models below. Independent variables: x1 - total county population in 2010.
x2 - mean winter temperature within the state.
x3 - percent of jobs within the county that are in manufacturing in 2010.
x4 - percent of adults over the age of 25 within the county with less than a high school degree in 2010.
x5 - county median household income in 2010.
x6, x7, x8 represent dummy variables indicating the Census Region the county is in.
Use the US Census to construct the population, education and income variables.

2. Turn in your SAS regression output as well as the constructed variables used to run the regressions. Also turn in your SAS programs.

3. Write a short paper interpreting the results, addressing the following points.
A. Justify the models. What effect do you expect each of the independent variables to have on the dependent variable? (Your expectations may differ from the estimated relationships).
B. Discuss your results. Do your results correspond with the expectations discussed in part A? Which results are statistically significant?
C. In what way do the relationships estimated in model I change when the regional dummy variables are added in model II?
D. Which results do you find most surprising? Explain.
About the recuiter
Member since Mar 14, 2020
Hermanto Herman
from Casablanca-Settat, Morocco

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