1. Chapter 4 Minitab Recipe Cards

2. Correlation coefficients Enter the data from Example 4.1 in columns C1 and C2 of the worksheet.

3. Select Basic Statistics from the Stat menu and Correlation from the sub-menu. then give the column locations of both sets of observations in the command window. Click OK.

4. Enter C1 and C2 in the command window. Click OK.

5. The correlation coefficient appears in the session window.

6. Simple linear regression Put the data from Example 4.1 in two columns of the worksheet.

7. Select Regression from the Stat menu then Regression from the Regression sub-menu.

8. Type C2 beside Response and C1 beside Predictor.

9. Click OK and the output that appears has the regression equation, the equation of the line of best fit, at the top.

10. If you want a scatter diagram with the line of best-fit superimposed on the scatter like Figure 4.11 follow the Stat – Regression sequence but choose Fitted Line Plot from the Regression sub- menu.

11. Type C2 beside Response (Y) and C1 beside Predictor (X). Click OK.

12. The diagram that appears includes the regression equation and the value of R 2 for the data.

13. Time series decomposition Put the data from Example 4.12 into C1 in chronological order.

14. Select Time Series from the Stat menu then Decomposition from the sub-menu.

15. Type C1 to the right of Variable, type 3 as the Seasonal length and select the Additive model under Model Type. Click OK.

16. The output generated includes three graphs, the third of which is a plot of the series with the trend estimates.