06 Oct Decision Models for Predicting Social Media Engagement.Applied Decision Methods GBA-334
13701Paper is not needed only- POWER POINT
I have included an example of a PowerPoint, and the formatting and Excel QM should look in the PowerPoint. I have also included the proposal that was submitted to the professor, along with his feedback, in the uploaded files. Please include talking points for each slide.
Feedback from Professor
I just saw this in my drafts folder and wanted to be sure it went out so sending it again.
Looks good. Let’s simplify the proposal:
Don’t worry about decision trees. Focus on multiple regression.
All regressions will be run with both independent and control variables.
One regression using those to predict the number of likes
One regression using those to predict the number of comments
One regression using those to predict the number of shares
Note, you can’t have something as both an independent and dependent variable, so for the third one, you would not use the number of shares as an independent variable.
Approved! I look forward to seeing your project.
Final Group Project: As mentioned earlier, this project includes
a presentation with voice-over. It must include the following areas:
• Introduction – What was your project? Why did you choose the topic? What was the main
research question? How did completing this project demonstrate Saint Leo University’s core
value of excellence?
• Data – What was your data source? What dates did it cover? What was the web site you
obtained it from? What variables did you include? Identify all dependent and independent
variables. What were their values and what do those values signify?
• Descriptive Statistics – for your primary variables, be sure to include Table 1 below (you can
cut and paste it into your document if you like).
• Graphs as appropriate – scatterplot, histogram, pie chart, etc.
• Testing Conducted – what type of test did you conduct? What were the results?
• Conclusion – Wrap up your project in a concise manner. Clearly state what you learned
from the results and any potential shortcomings of your analysis.
Table 1 – Descriptive Statistics for ?????
Add descriptive statistics measures as needed for your project.
Statistic ????? ?????
N ? ?
Mean ? ?
Std. Deviation ? ?
Skewness ? ?
Minimum ? ?
Q1 ? ?
Median ? ?
Q3 ? ?
Maximum ? ?
Each team member must submit the final Group Project to the assignment folder using the link in the
Module 7 folder no later than Sunday 11:59 PM EST/EDT of Module 7.
Just a quick couple items about your final projects:
1 – you can either do a voice over PowerPoint presentation or a zoom recording. Either is fine. If you do a zoom recording, please make sure that you record to the cloud and enable sharing. Take the link and paste it into a word document. Upload that document with your excel file that contains your data set and all the analysis outputs and PowerPoint file. If you do the voice-over in PowerPoint, just upload your Excel-QM file with the data set and all analysis outputs, along with your PowerPoint slides.
2 – please be sure to cover everything that’s noted in the syllabus / project description. There is a guide to follow for the different sections. Don’t forget to DISCUSS the descriptive statistics (all variables need descriptive statistics – easy to run from data – data analysis then click on descriptive statistics).
3 – Since there is no paper component, your slides should contain screenshots of the actual outputs from your analysis – e.g., regression output from Excel-QM, forecasting outputs from Excel QM, and so forth.
4 – for references, no need to cite on every slide. Just discuss where you got them and put in a properly formatted slide at the end that has the full reference list.
5 – finally, since there is no paper, please be sure to discuss all the sections in adequate detail in your presentation. Presentations should be between 12-20 minutes long as a general rule of thumb (I know that’s a broad range, but I don’t time them…just make it long enough to adequately cover what you need).
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