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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:

\[ y = 4.4956x + 11.0600 \]

The slope is \(4.4956\) and the y-intercept is \(11.0600\), 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 would you interpret the y-intercept in this context?
2. What does the slope indicate about the relationship between \(x\) and \(y\) in this data set?
3. Can you calculate the predicted value of \(y\) for \(x = 100\) using this line?
4. How would you compute the R-squared value to assess the fit of this line?
5. What impact do outliers have on the line of best fit in linear regression?

**Tip:** A positive slope in the line of best fit suggests that as \(x\) increases, \(y\) also increases, indicating a direct relationship between the variables.

Discover how to find the line of best fit for a given set of data points with slope and y-intercept rounded to four decimal places. This problem covers linear regression and statistics concepts, including the equation of a line (y = mx + c). Suitable for advanced high school and college students.

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