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Here is the data on some countries: Using SAS or Python, analyze this data in an

ID: 3170832 • Letter: H

Question

Here is the data on some countries: Using SAS or Python, analyze this data in any meaningful way you see fit to produce some insight. Possibilities include correlation coefficients, F statistics, the slopes, the number of dependent variables or even finding more data on each country to include in the table that will add to the regression. You can choose the dependent variable among these 3. It is possible to go through the results of straightline regression and interpret the results with figures.

Explanation / Answer

data are given as

here y is dependent variable and x1 and x2 are inpendent variable.

the corrlation among three variable are as

and regression analysis output are given as

Roadlength (y) population(x1) GDP(x2) 5486610 324532000 57294 5472144 1293057000 6664 139600 144554993 25185 487700 60674003 36191 199567 92700000 6377 139295 31151643 13018 96155 4757976 69375

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