Question
Which equation best fits the data shown in the scatter plot?
15-
10-
5
이
5
10
15
(1 point)
y = 3/4 * x + 16
y = - 3/4 * x + 16
y = 16x + 3/4
y = 16x + 3/4
15-
10-
5
이
5
10
15
(1 point)
y = 3/4 * x + 16
y = - 3/4 * x + 16
y = 16x + 3/4
y = 16x + 3/4
Answers
GPT-4o mini
To determine which equation best fits the data shown in the scatter plot, we would need to analyze the visual representation of the data in the plot. However, since I can't see the scatter plot, I cannot provide a definitive answer.
To proceed, you should look for the following:
1. **Slope**: Determine if the relationship is positive or negative:
- If the line tends upward from left to right, the slope is positive.
- If the line trends downward from left to right, the slope is negative.
2. **Y-Intercept**: Locate where the line intersects the y-axis (the value of y when x = 0).
Given the equations provided:
- **y = 3/4 * x + 16** (Positive slope, y-intercept = 16)
- **y = -3/4 * x + 16** (Negative slope, y-intercept = 16)
- **y = 16x + 3/4** (Very steep positive slope, y-intercept = 3/4)
- **y = 16x + 3/4** (Same as above, likely a repetition)
Using this information, match the characteristics of the scatter plot data to these equations to select the best fit. If you see a positive upward trend that aligns with a y-intercept around 16, then the first equation is likely the best fit. If the trend is downward, consider the second equation.
If you can describe the slope and y-intercept of the line that fits, I can help provide a more precise answer!
To proceed, you should look for the following:
1. **Slope**: Determine if the relationship is positive or negative:
- If the line tends upward from left to right, the slope is positive.
- If the line trends downward from left to right, the slope is negative.
2. **Y-Intercept**: Locate where the line intersects the y-axis (the value of y when x = 0).
Given the equations provided:
- **y = 3/4 * x + 16** (Positive slope, y-intercept = 16)
- **y = -3/4 * x + 16** (Negative slope, y-intercept = 16)
- **y = 16x + 3/4** (Very steep positive slope, y-intercept = 3/4)
- **y = 16x + 3/4** (Same as above, likely a repetition)
Using this information, match the characteristics of the scatter plot data to these equations to select the best fit. If you see a positive upward trend that aligns with a y-intercept around 16, then the first equation is likely the best fit. If the trend is downward, consider the second equation.
If you can describe the slope and y-intercept of the line that fits, I can help provide a more precise answer!