To create a scatter plot for the given data, we need to plot the relationship between the number of hours worked and the amount of money spent on entertainment. Here’s how you can set it up:

Given Data:

Number of hours worked (x)	Amount spent on entertainment (y)
5	6
8	9
9	11
10	8
11	10
13	13
14	12

Steps to Create the Scatter Plot:

1. Set up the axes:

   • The x-axis represents the number of hours worked.
   • The y-axis represents the amount spent on entertainment in dollars.
   • Choose a scale that fits the range of the values (e.g., x from 0 to 15, y from 0 to 15).

2. Plot each point using the coordinates (x, y) from the table:

   • (5, 6)
   • (8, 9)
   • (9, 11)
   • (10, 8)
   • (11, 10)
   • (13, 13)
   • (14, 12)

3. Label the axes:

   • x-axis: "Number of hours worked"
   • y-axis: "Amount spent on entertainment (in dollars)"

4. Add a title to the graph, like "Scatter Plot of Hours Worked vs. Money Spent on Entertainment."

General Observations:

Once you plot these points, you can observe the relationship between hours worked and money spent. This might suggest a trend, such as whether students who work more hours tend to spend more or less on entertainment.

Would you like a visual of this scatter plot, or do you need further details on the trend or how to interpret the plot?

Related Questions:

1. What would be the best-fit line for this scatter plot, and what does it represent?
2. How would you calculate the correlation coefficient between hours worked and money spent?
3. Is the relationship between hours worked and money spent positive or negative? What does that imply?
4. How can outliers in the data affect the scatter plot's interpretation?
5. How could this scatter plot help in making predictions for students' spending behavior?

Tip: When analyzing scatter plots, always look for patterns, clusters, or outliers that may indicate trends or unusual behavior in the data set.