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Rideshare data Price - Fare on a rideshare (Uber, Lyft.....) Fuel + Fuel Price at the time Weather - Weather conditions at the time - Clear=3, Fog=2, Wet=1 Distance - Distance in miles Traffic load - Hi/Lo traffic periods - Hi=1, Lo=0 (binary) Passengers - Number of Passenger on trip complete assignment on the next tab FORMAT EVERYTHING TO 2 DECIMAL PLACES 0. Copy the data on the Data sheet to the Backup sheet - a safety measure. 1. Determine the means and standard deviations for the Ride Share data - or copy from Part 1 2. Present the correlation Table for the Ride Share data - or copy from Part 1 3. Develop the (full) Multiple Regression model of Price against Fuel, Weather, Distance, Traffic Load and Passengers - or copy from Part 1 4. Develop reduced models as appropriate using an alpha- pvalue