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Description: Mult. Reg. Analysis performed on data from car sharing platform 'Turo' using R and a public data set representing operations in the state of Arizon of car features and additional metrics such as gas mileage and price.

zestyraiden/Multiple-Regression-Analysis

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Multiple-Regression Analysis

Dataset: Turo-Car-Sharing

Objective/Question:

  • Which of the several factors offer a meaningful impact on the final price of a trip?

Research/Summary:

  • summary statistics on the dataset indicate some potential candidates

Hypothesis:

  • Most of the original impressions will be correct to varying degrees after eliminating outliers.

Test Method:

  • Used Inter-Quartile-Range (IQR) to identify outliers

  • Removed Outliers and tripped down the number of categories by eliminating those that were not viable

  • Measure the impact of each of the remaing variables individually

  • Next: Conduct Multiple Linear Regression on different models using a variation of subsets of the variables available

  • Compare and Contrast promising models & select the best one

Findings:

  • TBD

Samples:

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Description: Mult. Reg. Analysis performed on data from car sharing platform 'Turo' using R and a public data set representing operations in the state of Arizon of car features and additional metrics such as gas mileage and price.

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