excel assign 3
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 |
ASSIGNMENT INSTRUCTIONS
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.
See PDF for videos.