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I perform a retrospective analysis on the linear regression analysis that I previously performed on the NYC Bike Counts dataset. Specifically, I analyze my linear regression analysis to identify anything that I could have done differently.

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plotly-express scipy-stats statsmodel hypothesis-testing ols-regression ols-regression-model correlation data-science

nyc_bike_counts_retrospective_analysis's Introduction

NYC_Bike_Counts_Retrospective_Analysis

I perform a retrospective analysis on the linear regression analysis that I previously performed on the NYC Bike Counts dataset. Specifically, I analyze my linear regression analysis to identify anything that I could have done differently.

Steps

  1. Choose one of the following questions (which concern what affects the number of bikes crossing the Brooklyn Bridge):

    • Does the amount of precipitation affect the number of bike trips across the Brooklyn Bridge?

    • Does a high temperature affect the number of bike trips across the Brooklyn Bridge?

  2. Formulated a null and an alternative hypothesis for my chosen question.

  3. Used the steps that you’ve learned to guide you in performing qualitative and quantitative analyses.

  4. Used my knowledge of linear regression models to test the null hypothesis.

  5. Identified whether I reject the null hypothesis and provided a short summary.

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