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The straight line that best fits the data on a coordinate plane is the Line Of Best Fit.
They are the data points, plotted on the appropriate coordinates!
For ungrouped data.
The point lies 1 unit below the regression line.
Because the "best fit" line is usually required to be a straight line, but the data points are not all on one straight line. (If they were, then the best-fit line would be a real no-brainer.)
The point lies 1 unit below the regression line.
If a data point has a residual of zero, it means that the observed value of the data point matches the value predicted by the regression model. In other words, there is no difference between the actual value and the predicted value for that data point.
A title.
The point lies one unit below the regression line.
The straight line that best fits the data on a coordinate plane is the Line Of Best Fit.
For ungrouped data.
They are the data points, plotted on the appropriate coordinates!
Depending on how long the data set is, a bar chart or a line chart may be appropriate.
The point lies 1 unit below the regression line.
Because the "best fit" line is usually required to be a straight line, but the data points are not all on one straight line. (If they were, then the best-fit line would be a real no-brainer.)
If your data doesn't graph into a straight line, it may suggest a nonlinear relationship between the variables. In such cases, you can try fitting a curve or using a different type of regression analysis, such as polynomial regression or exponential regression, to better capture the underlying relationship in your data. It's important to choose the appropriate model that best fits your data and the underlying theory.
A straight line which best describes the data on a scatter plot is called a "line of best fit". The line could pass through some of the points, all of them, or none of them.