# Discussion on Germany and Nigeria

Q1: use countries – Germany and Nigeria

Q2: judge what you need to do with this one as you like, you should use ggplot2 when possible

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Question 3-7 have similar syntax to the one provided in the document that is attached, but not in the same order.

Q3: use countries – Germany and Nigeria

use variables (in addition to Gender and Age) – urban vs. Rural living, employment status (full-time or part-time employed vs not employed), and mother’s highest education level (higher education, university and up vs college and down)

use multiple linear regression or logistic regression, whatever makes most sense

this question it’s hinted at using the Stargazer function.

Q4: should be two boxplots, either 2 x singles/unmarried boxplots for each country and 2 x married boxplots, or by happy and unhappy, whatever makes most sense.

Q5: use countries – Germany and Nigeria, and use the same variables as in question 3.

also here it is hinted at using the Stargazer function, so that would be good if you could use that ðŸ™‚

use the most appropriate regression, I think that should be linear regression here

Q6: use country – Germany

I think it’s hinted at using PCA here, but i’m a bit unsure, but this question should have a similar syntax to one of the answers from the 2019 syntax, so it would be good if it was similar in style to that. Whatever you think is appropriate.

Q7: use the same extra variables as in question 3 and 5.

I think KNN should have something to do with this, but not sure in what way

• If you could make sure that the discussion of the outputs it made very simplistic and straight forward, and effective, then that would be great ðŸ™‚

• Please send back the solutions so i can open it easily as a word file and r-markdown and put my personal touch to it?

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• If any of the chosen extra variables just don’t work, then obviously decide what you personally think is a good variable to use instead

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