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 cor

 

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 Excel and provide the results in your post along with your raw data. Looking at the R2 value, explain what this indicates about the strength of the relation.  Then write out your Regression Equation, state if your p-value and conclusion.

I encourage you to review the Week 7 Regression PDF  at the bottom of the discussions.  This will give you a step by step example on how to calculate a correlation and run a Regression using Excel. I DO NOT recommend doing this by hand.  Let Excel do the heavy lifting for you.  You can also use this PDF in Quizzes section.

There are additional PDFs that were created to help you with the Homework, Lessons and Tests in Quizzes section.  I encourage you to review these ASAP!  These PDFs are also located at the bottom of the discussion.

Once you have posted your initial discussion, you must reply to at least two other learner’s post. Each post must be a different topic. So, you will have your initial post from one topic, your first follow-up post from a different topic, and your second follow-up post from one of the other topics. Of course, you are more than welcome to respond to more than two learners.”

Instructions: Make sure you include your data set in your initial post as well. 

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 cor

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