# Linear Regression

Using the attached data (“Car Weight and MPG.sav”), compute and interpret the relationship between:

• Car Weight (“Weight”) and miles per gallon consumed (“CityMPG”)

For this regression analysis, state the following:

• A clear research question appropriate for a linear regression: (e.g., Is X a significant predictor of Y?”)
• Null and research hypotheses that align clearly and neatly with your RQ.
• Description of the variables used.
• Your dependent and independent variables. (Clearly explain your rationale as to why which is which.)
• State the sample size, along with the mean, standard deviation, and range (min & max) for each variable, in a paragraph format. (Do not just include a table, and not talk about it.)
• State the rationale for applying regression analysis in this investigation using appropriate readings and resources in Module 5. (Please cite specific references.)
• Findings in an APA format. (This includes the wording of the finding and the tables/figures included.)
• Write out your regression equation, and state the predicted miles per gallon for cars that weighs 3,000 and 4,000 pounds. (Clearly show the calculations and steps involved.)
• Include the SPSS output in your appendix.
• Car Weight and MPG.sav