Predictions from Simple Linear Regression

Use this to predict the value for a future observation based on the current fitted linear regression model.

Explanatory variate

Displays the name of the explanatory variate for which the values of the response variable are to be predicted from.

Predict values at

Specify values of the explanatory variable to predict values of the response variable from. You can either type a single value, a series of values separated by columns or spaces, or the word mean to predict the mean value.

Include variance of future observation

Specifies whether you want the variance of predictions to be calculated on the basis of forecasting new observations. The default is for the variance of predictions to be calculated on the basis of summarizing the data to which the data has been fitted.

Display

Specifies which items of output are to be produced.

Predictions	Predictions
Description	Describes the standardization policies used when forming predictions
Standard errors	Standard errors of predictions
Standard error of differences	Standard error of differences between predictions
LSDs	Least significant differences between predictions (for ordinary linear regression models or GLMs with Normal distribution only). The LSD significance level (%) can be specified in the space provided.
Confidence limits for predictions	Confidence limits for each prediction. The confidence level (%) can be specified in the space provided.

Save

Predictions	Table or scalar	Predicted values for each response value
Standard errors	Table or scalar	Standard errors for each predicted value
Confidence limits	Table or scalar	limits for each predicted value. The confidence level is that set in the Display section.

Display in spreadsheet

Displays the saved results in a new spreadsheet window.

Plot table of predictions

If this is selected, the predictions will be plotted. The Options button opens the Plot table of predictions dialog which controls how the predictions are plotted.