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give me the answer to the line of best fit to 4 decimal places

The line of best fit for the given data points is:

\[ y = -3.2015x + 173.8182 \]

The slope is \(-3.2015\) and the y-intercept is \(173.8182\), both rounded to four decimal places.

Would you like more details or have any questions? 

Here are five related questions you might consider:
1. How do you calculate the correlation coefficient for these data points?
2. What does the slope of the line represent in this context?
3. How would you predict the value of \(y\) for a new value of \(x\) using this line?
4. How does the goodness-of-fit (R-squared value) affect the reliability of the line of best fit?
5. What are the residuals, and how would you calculate them for this line?

**Tip:** The slope of the line of best fit indicates the rate at which \(y\) changes with respect to \(x\). A negative slope means that as \(x\) increases, \(y\) decreases.

Learn how to calculate the line of best fit for given data points with a slope of -3.2015 and a y-intercept of 173.8182, rounded to four decimal places. Understand the significance of the slope and y-intercept in linear regression analysis. Suitable for high school students studying linear regression and data analysis.

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