political analysis statistics 1
Assignment 9
This assignment includes two exercises. The first exercise requires you to calculate the best fit line and corresponding r-square. The second exercise asks you to interpret STATA output for a bivariate regression. Of course, this is due at our standard day and time.
Exercise 1
The following dataset contains a random sample of countries. Two variables are included: GDP per capita and infant mortality rate per 1,000 live births. Determine the equation of the best fit line and calculate the r-squared. Interpret all findings.
If you do not show your work for obtaining each portion of the regression equation and r-squared, you will lose extensive points on this exercise.
|
Country |
GDP per Capita (USD) |
Infant Mortality Rate |
|
Malaysia |
9766.166 |
6 |
|
Slovak Republic |
15962.57 |
5.8 |
|
Central African Republic |
306.7788 |
91.5 |
|
Cabo Verde |
3131.131 |
20.7 |
|
Denmark |
52002.15 |
2.9 |
|
Barbados |
15660.68 |
12 |
|
Uganda |
675.5735 |
37.7 |
|
Maldives |
7681.076 |
7.4 |
|
Kiribati |
1291.88 |
43.6 |
|
Palau |
13498.66 |
14.2 |
Exercise 2
The following STATA output includes a random sample of 50 countries. I am investigating the relationship between GDP per capita and internet users per 100 people. Specifically, I want to know if GDP per capita causes change in the number of internet users per 100 people. Interpret the STATA output below. Be sure to include the regression equation, null / alternative hypotheses, analysis of coefficients / related inferential tests, and a discussion on statistical significance and goodness of fit.IMAGE FOR THIS QUESTION IS ATTACHED.
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