I am writing a non-parametric/parametric statistical analysis paper on three Independent data sets. (Human Development Index, Gini Index, US Aid) for 10 countries, annually over the last 10 years. I want to find out whether the Gini index can be described as a predictor for the country's Human Development, and whether US Aid impacts this.
I want to know which tests I should conduct to find an inference for my data.
Hello Brandon,
Assuming that all three variables are quantified as continuous or pseudo-continuous measures, it sounds as if multiple linear regression (with two predictors, Gini index, US Aid, and the dependent variable of HD index) would fit the situation. There are, of course, assumptions to be made (model residuals are normally and independently distributed with equal variance throughout the range of estimated values), but most decent statistical software packages offer simple ways to check these for your data set.
Good luck with your work.
Thank you David! Appreciate the response. I think that a multiple Linear regression can work well. I also have access to a larger amount of the data set than what I curated.
However, if the data is not normally distributed do you know of a nonparametric alternative I can run? David Morse
It depends on what is not normally distributed. IVs do not have to be. My fav ref on linear stat models is:
https://www.google.com/search?rlz=1C1CHBF_enUS874US874&ei=PeX1Xa_HJZC0swWWiYXACg&q=kutner+applied+linear+statistical+models&oq=Kutner+Appiled&gs_l=psy-ab.1.0.0i13l3j0i13i30j0i8i13i30l4j0i333l2.516277.527070..531505...1.2..4.153.2641.10j15....2..0....1..gws-wiz.....6..0i71j0i22i30j0i362i308i154i357j0i273j0i131j0j0i67j0i10i67j33i160.qiKKaMOpOWI
This book covers all of that material. Best, D. Booth Note you can often fix this up. Covered in this reference
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