The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs Number of Hours Playing Video Games GPA (per week) 42 38 32 26 23 19 15 0.2 0.9 1.0 1.1 1.2 2.5 3.0 a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation. b) What kind of correlation is this?
The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs Number of Hours Playing Video Games GPA (per week) 42 38 32 26 23 19 15 0.2 0.9 1.0 1.1 1.2 2.5 3.0 a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation. b) What kind of correlation is this?
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Question
1) The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs
Number of Hours Playing Video Games GPA (per week)
42 38 32 26 23 19 15
0.2 0.9 1.0 1.1 1.2 2.5 3.0
-
a) Create a
scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation. -
b) What kind of
correlation is this? -
c) Is this more of a linear or exponential model? Why?
-
d) Predict the standard GPA if a student spends one hour a week playing video games.
![### Study on Video Game Playing Hours and GPAs
The following data presents the results of a study examining the relationship between the number of hours college students spend playing video games per week and their GPAs:
| Number of Hours Playing Video Games (per week) | GPA |
|-----------------------------------------------|-----|
| 42 | 0.2 |
| 38 | 0.9 |
| 32 | 1.0 |
| 26 | 1.1 |
| 23 | 1.2 |
| 19 | 2.5 |
| 15 | 3.0 |
#### Questions
a) **Create a scatter plot:**
- Label both axes and provide an overall name for the chart.
- Display the "r-value" and the correct equation on the graph.
b) **Correlation Type:**
- Determine the kind of correlation presented in the data.
c) **Model Analysis:**
- Assess whether the data is more appropriately represented by a linear or exponential model and justify the choice.
d) **Prediction:**
- Predict the standard GPA if a student spends one hour a week playing video games.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F082cdcd2-4382-4586-afd9-2a8fb48bbe28%2Fb86982ce-829e-4e41-bb41-a2f165a618e1%2Fpd3id4g_processed.png&w=3840&q=75)
Transcribed Image Text:### Study on Video Game Playing Hours and GPAs
The following data presents the results of a study examining the relationship between the number of hours college students spend playing video games per week and their GPAs:
| Number of Hours Playing Video Games (per week) | GPA |
|-----------------------------------------------|-----|
| 42 | 0.2 |
| 38 | 0.9 |
| 32 | 1.0 |
| 26 | 1.1 |
| 23 | 1.2 |
| 19 | 2.5 |
| 15 | 3.0 |
#### Questions
a) **Create a scatter plot:**
- Label both axes and provide an overall name for the chart.
- Display the "r-value" and the correct equation on the graph.
b) **Correlation Type:**
- Determine the kind of correlation presented in the data.
c) **Model Analysis:**
- Assess whether the data is more appropriately represented by a linear or exponential model and justify the choice.
d) **Prediction:**
- Predict the standard GPA if a student spends one hour a week playing video games.
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