Applied Sciences

Applied Sciences

Using the attached data (“), 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.)
Use the following link to provide the template:
Also add a clear interpretation of the R-square value in your finding. See last page:!/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.”

Chapter 5, “From Building a Model to Adaptive Robust Decision-Making Using Systems Modeling”

Text Book: Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science: Integrating complex systems, social simulation and public administration in policy research (Vol. 10). Springer. (Included through library subscription)

Please find 5 research article related to the topics discussed in Chapter 5.

Topics could include:

  • System dynamics
  • Multi-actor systems modeling
  • Complex adaptive systems modeling

or any other topic contained in the chapter.

After reading and finding the 5 research articles, create an annotated bibliography. The deliverable will be one MS Word file that you will submit here.

Here is a link with instructions on how to create an annotated bibliography.

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