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Enter your data for Predict

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Select the option for the analysis that you used to fit the model. The option also depends on how you want to enter the data.

In This Topic

Enter individual values for a model from the Predictive Analytics Module

Complete the following steps to specify individual values for the variable settings.

  1. Go to the results for the model, then select Predict.
  2. From the drop-down list, select Enter individual values.
  3. In the table, enter at least one value for each variable. You must enter the same number of values in each column. For categorical variables, select a value from the drop-down list. For continuous variables, you must enter numeric or date/time values.

Enter columns of values for a model from the Predictive Analytics Module

Complete the following steps to specify columns in the worksheet that contain the variable settings.

  1. Go to the results for the model, then select Predict.
  2. From the drop-down list, select Enter columns of values.
  3. In the table, enter one column for each variable. Each column must contain the values for one variable. Use columns that have the same number of rows. For categorical variables, use the same values that you used to fit the model. For continuous variables, use the same data type as the original variable.

    Minitab stores the results in the worksheet columns and does not display them by default. To display the results, select the items in the Results subdialog box.

In this worksheet, columns C1–C4 represent the columns of data for the original analysis on which the model is based. Salary is the response. Gender_New, Years_New, and Quality_New contain data values for the prediction of new salaries.
C1 C2 C3 C4 C5 C6 C7
Salary Gender Years Quality Gender_New Years_New Quality_New
50 M 4 95 M 6 70
76 F 13 67 M 10 84
68 F 7 78 F 15 60
80 M 11 88 F 12 57

Enter individual values for a model from the Stat menu

Complete the following steps to specify individual values for the variable settings.

  1. To perform this analysis in Minitab, go to the menu that you used to fit the model, then choose Predict. For example, if you fit a Poisson model, choose Stat > Regression > Poisson Regression > Predict.
  2. From Response, select a response variable to predict.
    Note

    Only response variables with up-to-date models from the same analysis are in the list. If you do not see a response that you want, re-fit the model. For more information, go to Stored model overview.

  3. (Optional) Select Include covariates in prediction to include covariate values in the predictions. If your model contains covariates but you do not include them in the prediction, Minitab averages the prediction over the covariates. For more information, go to What is a covariate?. This option is available only for models that you fit using Fit General Linear Model or Analyze Factorial Design.
  4. From the second drop-down list, select Enter individual values.
  5. In the table, enter at least one value for each variable. You must enter the same number of values in each column. For categorical variables, select a value from the drop-down list. For continuous variables, you must enter numeric or date/time values.

Enter columns of values for a model from the Stat menu

Complete the following steps to specify columns in the worksheet that contain the variable settings.

  1. To perform this analysis in Minitab, go to the menu that you used to fit the model, then choose Predict. For example, if you fit a Poisson model, choose Stat > Regression > Poisson Regression > Predict.
  2. From Response, select a response variable to predict.
    Note

    Only response variables with up-to-date models from the same analysis are in the list. If you do not see a response that you want, re-fit the model. For more information, go to Stored model overview.

  3. From the second drop-down list, select Enter columns of values.
    Note

    (Optional) For models that you fit using Fit General Linear Model or Analyze Factorial Design, choose whether to select Include covariates in prediction. If your model contains covariates but you do not include them in the prediction, then Minitab averages the prediction over the covariates. For more information, go to What is a covariate?.

  4. In the table, enter one column for each variable. Each column must contain the values for one variable. Use columns that have the same number of rows. For categorical variables, use the same values that you used to fit the model. For continuous variables, use the same data type as the original variable.

    Minitab stores the results in the worksheet columns and does not display them by default. To display the results, select the items in the Results sub-dialog box.

In this worksheet, columns C1–C4 represent the columns of data for the original analysis on which the model is based. Salary is the response. Gender_New, Years_New, and Quality_New contain the values for the predictors that are used to predict values of Salary.
C1 C2 C3 C4 C5 C6 C7
Salary Gender Years Quality Gender_New Years_New Quality_New
50 M 4 95 M 6 70
76 F 13 67 M 10 84
68 F 7 78 F 15 60
80 M 11 88 F 12 57
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