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

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 videoabove explains how to do 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:

https://www.youtube.com/watch?v=NGFmRt2V8vo

https://www.youtube.com/watch?v=g_PH5FKBJJY

ASSIGNMENT INSTRUCTIONS

• Discuss your findings as if you were explaining to an individual the impact of soda consumption on weight. 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 (how much will drinking additional sodas increase an individual's weight based upon your findings for this specific data set).

The data (The excel data that need to be explained)

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