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This will be a written assignment for my doctoral quantitative analysis class regarding 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”)

* Sample = cars in the dataset. Population = all cars on the road in Illinois in 2020.

Instructions:

For this regression analysis, state the following:

* A clear research question appropriate for a linear regression: (e.g., Among population A, is X a significant predictor of Y?”)

* Null and research hypotheses that align clearly and neatly with your RQ.

* Descriiption 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.)

* Use the following link to provide the template: https://www.slideshare.net/plummer48/reporting-a-single-linear-regression-in-apa

* Also add a clear interpretation of the R-square value in your finding. See last page: https://www.sheffield.ac.uk/polopoly_fs/1.531434!/file/MASH_simple_linear_regression_SPSS.pdf

* Note: Even if the p-value in the SPSS output shows “.000,” write it out as “p < .001."

* 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.

Please refer to the provided link (https://www.slideshare.net/plummer48/reporting-a-single-linear-regression-in-apa) as template for how the assignment should be written. I have also attached the SPSS output material for each variable, as well as recommended resources to elaborate on the assignment expectations. Make sure to provide substantial evidence from scholarly resources and refrain from making generalized statements. Textbooks, blogs, magazine or internet articles, book chapters, or special reports, do not count toward scholarly resources.

The powerpoint slides provided come from the class textbook, which should be the primary source used to support your statements (Salkind, N.J. & Frey, B.B. (2020). Statistics for People Who (Think They) Hate Statistics (7th ed.). SAGE Publications, Inc.)

Recommended Sites:

http://statistics-help-for-students.com/How_do_I_interpret_data_in_SPSS_for_Pearsons_r_and_scatterplots.htm#.Yx-qdi2B2LI

https://www.socscistatistics.com/tutorials/correlation/default.aspx

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