Overview
ALL INFO NEEDED IS PROVIDED/attached.
Research Question 1 – Does the type of chocolate bar (Generic or Brand name) significantly influence the frequency of chocolate bar purchases?
Research Question 2 – Is there a significant relationship between the cost of chocolate bars and the frequency of chocolate bar purchases?
For your poster template, you’ll analyze the data you collected by running a General Linear Model in RStudio. Your model must include both explanatory variables (regardless of significance). Do not present more than one model on your poster template.
READ: The explanatory variables etc(rcodes) can be found in the answer_2 document. I need help filling in the poster template document with the appropriate information. May need to use R Studio.
The content of your project template must fit on the 6 pages provided in the template(attachment_4). You can change the color, font style, and font size, as long as everything is readable once printed. Bullet points are acceptable and encouraged.
Note: Keep in mind that this is not a research paper – it is meant to be read by people walking around at a poster session. So don’t over-fill your poster template!
Descriptives
Report the appropriate descriptive statistics of your three variables (untransformed only) in a nicely formatted table like shown below.
Table 1 – Descriptive Statistics
Center**update | Spread**update | |
Response Variable | XX | XX |
Center**update | Spread**update | |
Numeric Explanatory Variable | XX | XX |
Group 1** Count | Group 2** Count | |
Categorical Explanatory Variable | XX | XX |
Results
Results table: Report the results of your model in a nicely formatted table like shown below.Include the model degrees of freedom and the appropriate measure of model fit.
Table 2 – Model Results
Estimate | t-stat | St. Error | p-value | |
Intercept | XX | XX | XX | XX |
XX | XX | XX | XX | XX |
XX | XX | XX | XX | XX |
Model df: XX
[update the name of correct model fit statistic here]: XX
Paste the multivariate plot for your model here.
Assumptions
Assumptions: List all relevant assumptions for your analysis.For each one, briefly state how you assessed it and whether or not it was met.
Discussion
Interpretation:Write a full conclusion for both explanatory variables in your model (not the intercept), citing the appropriate statistics.Also include the following:
Limitations:List all known limitations of your study, including any supposed bias from your sampling method, failed assumptions, etc.
Implications: Give a one sentence recap of the biggest takeaway from your results (in plain language without citing any statistics). This should not be a repeat of your conclusions, but a discussion on the broader impact of your study.
Future Research: Suggest possible areas for expanding this research in the future and list at least one specific thing you would change if you conducted this study again and why.
References: Cite all references you used during your entire project in APA format.Be sure to include the source of your data, the article you referenced in your proposal, and any other sources you used while working on the project.Feel free to use a smaller text size for this section, if needed.