Collect data directly by recording information from nutrition labels of a variety of snack foods. Do multiple regression regression analysis on calories, total fat content, total carbohydrate content

April 9, 2023April 9, 2023 Discipline: Statistics

1. Introduction

Introduce your research question. You might want to describe why you chose this topic. The goal of the introduction is to explain “Why should we care?”
2. Methodology
Describe how you formulated your null and alternative hypothesis based on your research question. Describe how you collected your sample. Describe any challenges faced and how you overcame them. Describe what methods you used to analyze your data. Did you run into any challenges? Did you have to change your methods due to quirks in the data? Were there outliers in your data? If so, what did you do with them? Was any of your data from a group that was not representative of the population of interest? If so, what did you do with this data?
3. Interpretation
Did you find a statistically significant result? What does this say about the population of interest? If it’s statistically significant, is it also practically significant? Explain and consider using confidence intervals or some other measure of effect size to justify your answer. If you did not find a statistically significant result, describe why you think you didn’t find one. Discuss potential errors that might have been made during the sampling and/or analysis. What are the consequences of these errors?
4. Conclusions and Future Research
Wrap up by describing your findings in the context of your research question. What did you learn about your research question and research in general? If you were to do this project over again, what would you do differently given what you have learned? If you or another researcher were to carry out additional research on this topic, what would your advice to them be? What are some possible next steps or follow-up research questions?
5. References
Provide references for any sources you used in the project. This includes articles you might have read or data sources you used to help you create this project.
Date sets: Collect data directly by recording information from nutrition labels of a variety (at least thirty) of snack foods. Do multiple regression regression analysis on calories (dependent variable, Y), total fat content (independent variable, X1), total carbohydrate content (independent variable X2).

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