The difference between the actual Y value and the predicted Y value found using a regression equation is called the

slope
residual
outlier
scatter plot

The correct answer is: B. residual.

A residual is the difference between the actual value of a dependent variable and the value predicted by a regression model. Residuals are used to evaluate the fit of a regression model. A good regression model will have residuals that are randomly distributed around zero.

The slope is the measure of the linear relationship between two variables. It is calculated by dividing the change in the dependent variable by the change in the independent variable.

An outlier is a data point that is significantly different from the other data points. Outliers can be caused by errors in data collection or by unusual events.

A scatter plot is a graph that shows the relationship between two variables. It is created by plotting the values of the two variables on a coordinate plane.

I hope this helps! Let me know if you have any other questions.

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