How Do You Use a Scatter Plot to Find a Line of Fit?

A line of fit is a line that best represents the data
Here we have our data graphed in a scatter plot
To graph data points, make the x- and y-values of each data point into an ordered pair
Then graph each ordered pair
The line of fit goes through the middle of the data points
Since the line of fit has a positive slope, the data have a positive correlation

1. In order to find the line of fit for a data set, we first need to create a scatter plot by graphing the data
1. Since each data point has an x- and y-value, we can use these values to create ordered pairs that we can graph
2. For example, the first data point becomes the ordered pair (1,2)
3. Once you've graphed all the data, you end up with a graph that we call a scatter plot
1. A line of fit is a line that best represents the data we've graphed
2. You can use the line of fit to determine the correlation, or relationship, of the data
1. This relationship is called the correlation
2. Correlations can be positive, negative, or 0
1. The line that best represents the data will go straight through the middle of the data points
1. The slope of the line of fit will tell us what kind of correlation our data has
2. So since our line has a positive slope, we have a positive correlation
1. The slope of the line of fit will tell us what kind of correlation our data has
2. So since our line has a positive slope, we have a positive correlation
3. This means that as the x-values increase, the y-values also increase

Find the line of fit of the data.