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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
analyze a dataset responsible for detecting the Miles per gallon a car can travel given some other features. visualize it and then fit it to a linear regression model.
What did you learn from the changes you have made?
techniques to analyze data and mainly the type of associations between the response variable and each of the features.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
N/A
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
a higher RMSEP for test set rather than train set. Although, the difference is not significant so not to concerning, the reason can be due to random sampling(more variant data in training than testing dataset).
How were these changes tested?
A reference to a related issue in your repository (if applicable)
Checklist