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This image shows a scatter plot with a line of best fit, indicating a negative linear relationship between two variables. The line of best fit (also called the regression line) passes through the data points, representing the general trend in the dataset, where as one variable increases, the other decreases.

Would you like a detailed explanation on how to calculate the line of best fit from data points, or do you have any specific questions about this graph?

Here are some related questions that might interest you:
1. How can I calculate the equation of the line of best fit?
2. What are the uses of the line of best fit in data analysis?
3. What does the slope of a line of best fit represent?
4. How do I assess the goodness of fit for a linear regression model?
5. How can I use the correlation coefficient to understand the strength of a linear relationship?

**Tip:** When plotting data and fitting a trendline, always check if a linear model is appropriate for the data. Sometimes, a nonlinear model may provide a better fit.

Scatter plot with a line of best fit, showing a negative linear relationship between two variables.

This example shows a scatter plot with a line of best fit, representing a negative linear relationship between two variables. Learn how to calculate the slope and equation of the line of best fit using the least squares method. Suitable for students in Grades 10-12.

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