NYC_Bike_Linear_Regression

I used the New York Bike Counts dataset to formulate a hypothesis about the number of bikes crossing the Brooklyn Bridge. This dataset contains the number of bikes that crossed each bridge during each day. I first used this dataset to formulate a hypothesis and then used linear regression to test if my hypothesis was correct.

Set Up

1. Imported the dependencies and then imported the data.

2. Inspected the “Day” and “Brooklyn Bridge” columns by using a scatter plot.

3. Used the number of bikes crossing the Brooklyn Bridge over time in April as my data, created and documented an analytical question, a hypothesis, a null hypothesis, an alternative hypothesis, and a significance level.

4. Performed a linear regression to evaluate my null and alternative hypotheses.

5. Checked the reported p value of the linear regression, and determined if enough evidence exists to reject the null hypothesis.

6. Documented my conclusion in the provided cell.