Respond to the following discussion prompt.
Create a data set with at least 10 data points, and find the linear regression for the data. Substitute the data points of the independent variable into the regression and show the
predicted values. Present a table showing the predicted and actual values of the dependent variable. Subtract the predicted test score from the actual test score and include this
information in the table. Use the following table as an example.
Actual Dependent Variable Independent Variable Predicted Dependent Variable Difference between the Actual and Predicted Value of the Dependent Variable
• Which regression line best models the data? Are the data positively or negatively correlated?
• How does applying the regression change the predicted values?
What can you conclude about the sum of the differences between the predicted and actual test scores?
• Why and when are regressions most useful?