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The 'line of best fit' goes roughly through the middle of all the scatter points on a graph. The closer the points are to the line of best fit, the stronger the correlation is.
The line of best fit, trendline, or linear regression is the line that shows the general trend of relationship within the data scatter graph. These trendlines can hit all the data or fall within the central location of the data.
Scatter plots are similar to line graphs in that they start with mapping quantitative data points. The difference is that with a scatter plot, the decision is made that the individual points should not be connected directly together with a line but, instead express a trend.
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A scatter plot is a graph in which ordered pairs of data are plotted. You can use a scatter plot to determine if a relationship, or an association exists between two sets of data. This is also known as a correlation. A line of best fit is a straight line that best represents the data on a scatter plot.
Correlation Coefficient (r) o If r is close to 1 (or -1), the model is considered a "good fit". o If r is close to 0, the model is "not a good fit". o If r = ±1, the model is a "perfect fit" with all data points lying on the line. o If r = 0, there is no linear relationship between the two variables.
A line of best fit is a straight line drawn through the maximum number of points on a scatter plot balancing about an equal number of points above and below the line. It is used to study the nature of relation between two variables.
0:24 2:55 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.
What Is a Line of Best Fit? 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.

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