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A line of best fit, also called a trend line or linear regression, is a straight line drawn on a graph that best represents the data on a plot. This line passes through some of the points, all of the points, or none of the points. It can be used to make predictions or to show trends in data.

How to draw line of best fit ( Scatterplot) - YouTube YouTube Start of suggested clip End of suggested clip Next draw the line in the middle of the data as best you can you can try to have an equal number ofMoreNext draw the line in the middle of the data as best you can you can try to have an equal number of dots on both sides of the line of best fit.

The equation of a line of best fit can be represented as y=mx+b y = m x + b , where m is the slope and b is the y-intercept. We will take a look at two examples show a scatter plot with a line of best fit to understand the concept of how to approximate the equation of a line of best fit and make predictions.

How to draw line of best fit ( Scatterplot) - YouTube YouTube Start of suggested clip End of suggested clip Next draw the line in the middle of the data as best you can you can try to have an equal number ofMoreNext draw the line in the middle of the data as best you can you can try to have an equal number of dots on both sides of the line of best fit.

MoreA line on a graph showing the general direction that a group of points seem to follow. Least Squares Regression.

You should notice that the trendline is the best line that fits through the points. It may or may not actually pass through any particular points. That's why another name for trendline is best-fit line.

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).