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1. A researcher was interested lowering the high school dropout level in his county. He measured the reading level of students entering middle school (based on a standard test) and their academic performance at the end of 10th grade (as measured by overall GPA).
Use the following data to:
A. Compute a correlation coefficient using Excel.
B. Create a scatter plot using Excel.
C. Determine the coefficient of determination. Explain what it tells you.
D. Explain in words what the correlation coefficient tells you about the relationship between reading level when entering middle school and 10th grade academic performance as measured by GPA.
E. What does it not tell you?
Student Reading Level Score GPA
1 100 3.0
2 110 2.95
3 80 2.00
4 75 2.10
5 91 2.00
6 124 3.80
7 95 2.40
8 82 3.00
9 104 3.10
10 95 2.20
11 88 2.24
12 95 3.00
13 107 3.45
14 112 3.11
This type of sampling is also known as chance sampling or probability where each and every item in the population has an equal change of inclusion in the sample and one of the poss
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Use the “best subsets” method to identify a “best” model for the data. Explain what you think is the best model and why.
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