Question
Use the data to create a scatter plot.
Keyboard Instructions
Initial graph state
The horizontal axis goes from -1.8 to 30 with ticks spaced every 3 unit(s).
The vertical axis goes from -1.8 to 30 with ticks spaced every 2 unit(s).
Number of Participants in a Given Year
Time (years)Number of participants (x1000)
Time (years)
Number of participants (x 1000)
3
22
6
25
9
28
12
14
15
17
18
20
21
15
24
9
Keyboard Instructions
Initial graph state
The horizontal axis goes from -1.8 to 30 with ticks spaced every 3 unit(s).
The vertical axis goes from -1.8 to 30 with ticks spaced every 2 unit(s).
Number of Participants in a Given Year
Time (years)Number of participants (x1000)
Time (years)
Number of participants (x 1000)
3
22
6
25
9
28
12
14
15
17
18
20
21
15
24
9
Answers
GPT-4o mini
Sure! To create a scatter plot based on the provided data, you'll need to plot the time (in years) on the horizontal axis and the number of participants (in thousands) on the vertical axis. Here are the steps to create the scatter plot:
### Data Points
Based on the data you provided, here are the points we'll use for the plot:
- (3, 22)
- (6, 25)
- (9, 28)
- (12, 14)
- (15, 17)
- (18, 20)
- (21, 15)
- (24, 9)
### Instructions for Creating the Scatter Plot
1. **Set Up the Axes:**
- **Horizontal Axis:** Label as "Time (years)", ranging from -1.8 to 30. Ticks every 3 units.
- **Vertical Axis:** Label as "Number of Participants (in 1000s)", ranging from -1.8 to 30. Ticks every 2 units.
2. **Plotting the Points:**
- Plot each of the pairs on the graph:
- (3, 22): Place a point at x = 3 and y = 22
- (6, 25): Place a point at x = 6 and y = 25
- (9, 28): Place a point at x = 9 and y = 28
- (12, 14): Place a point at x = 12 and y = 14
- (15, 17): Place a point at x = 15 and y = 17
- (18, 20): Place a point at x = 18 and y = 20
- (21, 15): Place a point at x = 21 and y = 15
- (24, 9): Place a point at x = 24 and y = 9
3. **Visual Adjustments:**
- Ensure each point is distinguishable. Different colors or markers can be used if needed.
- Optionally, you can add a trend line if you're analyzing patterns.
4. **Labeling:**
- Add a title to your graph, such as "Number of Participants Over Time".
- Consider adding a legend if you're using multiple colors or markers.
### Note:
Since I cannot create graphics directly in this format, you can use this data with any graphing tool or software to create the scatter plot visually. Excel, Google Sheets, or any statistical software like R or Python's Matplotlib are great choices for this task. If you have any specific software you want to use, I can help guide you through the process!
### Data Points
Based on the data you provided, here are the points we'll use for the plot:
- (3, 22)
- (6, 25)
- (9, 28)
- (12, 14)
- (15, 17)
- (18, 20)
- (21, 15)
- (24, 9)
### Instructions for Creating the Scatter Plot
1. **Set Up the Axes:**
- **Horizontal Axis:** Label as "Time (years)", ranging from -1.8 to 30. Ticks every 3 units.
- **Vertical Axis:** Label as "Number of Participants (in 1000s)", ranging from -1.8 to 30. Ticks every 2 units.
2. **Plotting the Points:**
- Plot each of the pairs on the graph:
- (3, 22): Place a point at x = 3 and y = 22
- (6, 25): Place a point at x = 6 and y = 25
- (9, 28): Place a point at x = 9 and y = 28
- (12, 14): Place a point at x = 12 and y = 14
- (15, 17): Place a point at x = 15 and y = 17
- (18, 20): Place a point at x = 18 and y = 20
- (21, 15): Place a point at x = 21 and y = 15
- (24, 9): Place a point at x = 24 and y = 9
3. **Visual Adjustments:**
- Ensure each point is distinguishable. Different colors or markers can be used if needed.
- Optionally, you can add a trend line if you're analyzing patterns.
4. **Labeling:**
- Add a title to your graph, such as "Number of Participants Over Time".
- Consider adding a legend if you're using multiple colors or markers.
### Note:
Since I cannot create graphics directly in this format, you can use this data with any graphing tool or software to create the scatter plot visually. Excel, Google Sheets, or any statistical software like R or Python's Matplotlib are great choices for this task. If you have any specific software you want to use, I can help guide you through the process!