Question
Look back to the raw data you collected in week 1. There are 7 variables listed: Vehicle type/class Year Make Model Price MPG (city) MPG
Look back to the raw data you collected in week 1. There are 7 variables listed:
Vehicle type/class | Year | Make | Model | Price | MPG (city) | MPG (highway) |
Choose TWO variables that you feel are correlated and explain why you feel that they are correlated. Do you suspect the relation is positive or negative? Why? Which would be considered the independent variable, which the dependent variable? Why?
Run a regression analysis in Exceland provide the results in your post along with your raw data. Looking at theR2value, explain what this indicates about the strength of the relation. Then write out your Regression Equation, state if your p-value and conclusion.
| Type | Year | Make | Model | Price | City MPG | HWY MPG |
| Truck | 2022 | GMC | 1500 | 81900 | 23 | 30 |
| SUV | 2022 | Jeep | Wrangler | 44000 | 22 | 29 |
| Motorcycle | 2022 | Harley | Road King | 19929 | 37 | 37 |
| Car | 2022 | Chevy | Corvette | 60900 | 16 | 24 |
| Truck | 2022 | Ram | 1500 | 36500 | 23 | 33 |
| Truck | 2022 | ford | 150 | 31520 | 25 | 25 |
| truck | 2022 | chevy | 1500 | 34600 | 23 | 31 |
| Truck | 2022 | Toyota | Tundra | 35950 | 18 | 24 |
| Truck | 2022 | Toyota | Tacoma | 27150 | 20 | 23 |
| Truck | 2022 | Ford | Ranger | 25930 | 20 | 26 |
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Smith and Roberson Business Law
Authors: Richard A. Mann, Barry S. Roberts
15th Edition
1285141903, 1285141903, 9781285141909, 978-0538473637
