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The closer the data points come when plotted to making a straight line, the higher the correlation between the two variables, or the stronger the relationship. If the data points make a straight line going from the origin out to high x- and y-values, then the variables are said to have a positive correlation .

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

A line of best fit can be roughly determined **using an eyeball method by drawing a straight line on a scatter plot** so that the number of points above the line and below the line is about equal (and the line passes through as many points as possible).

## What does the line of best fit tell you?

The line of best fit , also called a trendline or a linear regression, is a **straight line that best illustrates the overall picture of what the collected data is showing**. It helps us to see if there is a relationship or correlation between the two factors being studied.

## How do you know if you have a positive or negative correlation?

When the y variable tends to increase as the x variable increases, we say there is a positive correlation between the variables. When **the y variable tends to decrease as the x variable increases**, we say there is a negative correlation between the variables.