## Best answer

Calculate the mean of the x -values and the mean of the y -values. …The following formula gives the slope of the line of best fit: m = 鈭?i = 1 n ( x i 鈭?X ) ( y i …Compute the y -intercept of the line by using the formula: b = Y 鈭?m X Use the slope m and the y -intercept b to form the equation of the line.

## People also ask

### How to find the equation of the line of best fit?

The least squares regression is one common way to find the equation of the line of best fit for any set of data you might come across in the real world. Step 1 is to calculate the average x-value and average y-values.

### What is the line of best fit?

7+ Helpful Examples! Did you know that the Line of Best Fit is the same thing as the Trend Line or the Line of Regression? Yep! In fact, when we represent data in the form of a scatter plot, we are able to see how one variable affects the other. And when data follows a similar pattern, this relationship is called correlation.

### How do you draw a line of best fit?

A line of best fit is drawn through a scatterplotto find the direction of an associationbetween two variables. This line of best fit can then be used to make predictions. To draw a line of best fit, balance the number of points above the line with the number of points below the line.

### How do you find the line of best fit in MATLAB?

A more accurate way of finding the line of best fit is the least square method . Use the following steps to find the equation of line of best fit for a set of ordered pairs ( x 1 , y 1 ) , ( x 2 , y 2 ) , … ( x n , y n ) . Step 1: Calculate the mean of the x -values and the mean of the y -values. X = 鈭?i = 1 n x i n Y = 鈭?i = 1 n y i n.