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IND 503 Excelsior Relationship Between Soda Consumption & Weight Discussion


This assignment is due Week 4

Please see attachment for assignment notes.

You now know the difference between correlation and causation. Although there are several different ways to make predictions, a regression analysis is one way to do so. The video above explains how to do a simple correlation, regression, and scatterplot in Excel.

Remember, you can always visit your Lifeline for more help. For this assignment, imagine you are looking for a link between soda consumption and weight. Here is your data set:

Amount of Soda Consumed and Individual’s Weight
Participant Number of 12 ounce sodas consumed per day Weight
1 5 125
2 10 180
3 0 110
4 2 110
5 5 130
6 8 205
7 1 105
8 3 130
9 15 200


Following the instructions in the video, enter your data set on an Excel worksheet. Be sure and use the labels provided in the data set. Then:

  • Perform a correlation and regression on the data in Excel.
  • Create a scatterplot with a regression line for your data using Excel
  • In a separate Word document, discuss your findings (3-4 paragraphs). Is there a significant relationship between soda consumption and weight? Explain how you know this. Using your regression, predict how a person’s soda consumption will impact their weight.

Submit your completed Excel worksheet and Word document.


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