I have two data sets (two different countries), and for each data set I have 3 variables: 2 independents (years and car model), 1 dependent (sales)
To make it more visual it would look something like this:
Country 1
Car_Model Year Sales
A 1 100
A 2 200
B 1 80
B 2 90
C 1 66
C 2 20
Then for the second data set:
Country 2
Car_Model Year Sales
A 1 120
A 2 220
B 1 82
B 2 92
C 1 62
C 2 22
I have been asked to perform a t-test to check if there is a significant difference between countries, but taking into consideration the variable car_model and year. However, I can not understand if it is possible to perform a t-test in such a problem, and which kind of t-test should I perform or how I should use the variables.
I think the idea here is to check the significant difference of model A in country 1 against model A in country 2, then model B in country 1 against model B in country 2, and so on. And at the end get a p value based on those previous p values. Is it possible to do this using a t-test in R?