Statistics - Regression Projects

Two variables, variables X and Y, are the focus of a study. The study involves 50 cases. The sum of the

Two variables, variables X and Y, are the focus of a study. The study involves 50 cases. The sum of the cross products (Zx * Zy) for the 50 cases is 15.66. Based on this information calculate and interpret r and r ² .
Go to the website http://www.gapminder.org/data/ and identify two variables that could be causally related (examples could include life expectancy and median income; poverty rate and homicide rate and so on; note: the units of analysis in question are the world’s countries). Enter at least thirty paired observations into SPSS and run both bivariate correlation and regression analysis. Interpret your results. Be sure to mention how much variance is explained by your independent variable; the actual effect of a unit change in your independent variable on the dependent variable; and whether or not your results are significant.
Using the file ‘Lab5-A.sav’ run both correlation and regression analysis. Interpret your results. What can you conclude about the relationship between the rate of unemployment and imprisonment?
Open file ‘Lab5.sav’. Using ‘violent’ (violent crime rate) as your dependent variable perform multivariate regression using ‘popdens’ (population density), ‘perrural’ (percent of population living in rural areas), ‘infmort’ (infant mortality), ‘divorce’ (divorce rate), and ‘poverty’ (poverty rate) as your independent variables. Additionally, run multicollinearity diagnostics in SPSS. Interpret your results. How do your independent variables affect your dependent variable? Is mutlicollinearity an issue? If so, how might you address it?

Price: $13.47

Solution: The downloadable solution consists of 7 pages, 647 words and 5 charts.
Deliverable: Word Document