Unit 9 **Final Project**

MM207-05

MM207 Student **Data Set**

1. Using the MM207 Student **Data Set**:

a) What is the correlation between student cumulative **GPA** and the number of hours spent on school work each week? Be sure to include the computations or StatCrunch output to support your answer.

Answer: R= 0.30790085

StatCrunch output:

Correlation between Q10 What is your cumulative **Grade Point Average** at Kaplan University? and Q11 How many hours do you spend on school work each week? is:

0.30790085

b) Is the correlation what you expected?

Answer: No, I expected the correlation to be somewhat higher.

c) Does the number of hours spent on school work have a causal relationship with the **GPA**?

Answer: Yes, there is a causal relationship because anything that affects an effect is a factor of that effect. Therefore, more hours spent on school work is expected to result in a higher **GPA**, and vice versa.

d) What would be the predicted **GPA** for a student who spends 16 hours per week on school work? Be sure to include the computations or StatCrunch output to support your prediction.

StatCrunch output:

Simple linear regression results:

Dependent Variable: Q10 What is your cumulative **Grade Point Average** at Kaplan University?

Independent Variable: Q11 How many hours do you spend on school work each week?

Q10 What is your cumulative **Grade Point Average** at Kaplan University? = 3.3265686 + 0.017424047 Q11 How many hours do you spend on school work each week?

Sample size: 103

R (correlation coefficient) = 0.3079

R-sq = 0.09480294

Estimate of error standard deviation: 0.5243042

Parameter estimates:

Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-Value |

Intercept | 3.3265686 | 0.10834544 | ≠ 0 | 101 | 30.703356 | = 190) = p(z>= 0.80556) = 0.21171468

7. Select a random sample of 30 student responses to question 6, “How many credit hours are you taking this term?” Using the information from this…

Tags: Data Set, Final Project, GPA, Grade Point Average