# mat 243 discussion post based on python script data

Attached is the rubric and the HTML file containing the output data of the python script. This data is needed to answer the below prompts. One to two paragraphs is all that’s needed.

In this discussion, you will apply the statistical concepts and techniques covered in this week’s reading about multiple regression. Last weekâ€™s discussion involved a car rental company that wanted to evaluate the premise that heavier cars are less fuel efficient than lighter cars. The company expected fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) to be correlated. The company also expects cars with higher horsepower to be less fuel efficient than cars with lower horsepower. They would like you to consider this new variable in your analysis.

In this discussion, you will work with a cars data set that includes the three variables used in this discussion:

• Miles per gallon (coded as mpg in the data set)
• Weight of the car (coded as wt in the data set)
• Horsepower (coded as hp in the data set)

The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.