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To find the estimated chirps per minute when the temperature is 68°F using the line of best fit, follow these steps:

1. **Identify the Line of Best Fit**: The line of best fit in the scatter plot represents the relationship between the chirps per minute (x-axis) and the temperature (y-axis).

2. **Locate the Temperature on the Y-axis**: We want to determine the number of chirps per minute when the temperature is 68°F. Locate 68°F on the y-axis.

3. **Find the Corresponding Point on the Line**: Move horizontally from 68°F until you intersect the line of best fit. Then, drop vertically to the x-axis to see the corresponding chirps per minute.

From visual inspection, it appears that the estimated chirps per minute at 68°F is around **72 chirps per minute**.

### Would you like more details, or have any questions on this problem?

### Related Questions:
1. What is the slope of the line of best fit in the given graph?
2. How would you calculate the chirps per minute for a temperature of 65°F?
3. What is the y-intercept of the line of best fit in the graph?
4. How could you calculate the chirps per minute using the equation of a line if it were given?
5. How reliable is it to predict temperatures using chirps per minute based on this data?

**Tip:** When using a line of best fit, always remember that the values it provides are estimates, and the accuracy depends on the strength of the correlation between the variables.

A researcher studied the relationship between the number of times a certain species of cricket will chirp in one minute and the temperature outside. Based on the line of best fit in the scatter plot, how many times would the cricket chirp per minute if the temperature outside were 68°F?

Learn how to estimate cricket chirps per minute based on temperature data using the line of best fit. This problem involves interpreting a scatter plot and applying linear regression concepts to predict chirps at 68°F. Suitable for students in Grades 9-12.

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