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    Mean Confidence

    Interval

    Creates two new columns

    called Lower 95% Mean andUpper 95% Mean .

    These columns contain the lower and upper 95% confidence limits for the mean

    response.

    Note: If you hold the SHIFT key while selecting the option, you are prompted to

    enter anlevel for the computations.

    Indiv Confidence

    Interval

    Creates two new columns

    called Lower 95% Indiv andUpper 95% Indiv . These

    columns contain lower and upper 95% confidence limits for individual response

    values.

    Note: If you hold the SHIFT key while selecting the option, you are prompted to

    enter anlevel for the computations.

    Studentized

    Residuals

    Creates a new column called Studentized Resid , which contains

    the residuals divided by their standard errors.

    Hats Creates a new column called h . The column values are the diagonal

    values of the matrix , sometimes called hat values.

    Std Error of

    Predicted

    Creates a new column called StdErr Pred that contains the

    standard errors of the predicted mean response.

    Std Error of

    Residual

    Creates a new column called StdErr Resid that contains the

    standard errors of the residual values.

    Std Error of

    Individual

    Creates a new column called StdErr Indiv that contains the

    standard errors of the individual predicted response values.

    Effect Leverage

    Pairs

    Creates a set of new columns that contain the X Leverage values and Y Leverage

    Residuals for each leverage plot. For each effect in the model, two columns are

    added. If the response column name is Rand the effect is X,the new column

    names are:

    X Leverage of X for R

    Y Leverage of X for R

    In the columns panel, these columns are organized in a columns group

    called Leverage.

    CooksD Influence Creates a new column called CooksD Influence , which contains

    values of the CooksDinfluence statistic.

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    StdErr Pred

    Formula

    Creates a new column called PredSE that contains both the

    formula and the values for the standard error of the predicted values.

    Note: The saved formula can be large. If you do not need the formula, use the

    Std Error of Predicted option.

    Mean Confidence

    Limit Formula

    Creates two new columns

    called Lower 95% Mean andUpper 95% Mean .

    These columns contain both the formulas and the values for lower and upper

    95% confidence limits for the mean response.

    Note: If you hold the SHIFT key while selecting the option, you are prompted to

    enter anlevel for the computations.

    Indiv Confidence

    Limit Formula

    Creates two new columns

    called Lower 95% Indiv andUpper 95% Indiv . These

    columns contain both the formulas and the values for lower and upper 95%

    confidence limits for individual response values.

    Note: If you hold the SHIFT key while selecting the option, you are prompted to

    enter anlevel for the computations.

    Save Coding Table Produces a new data table showing the JMP coding for all model parameters.

    The response values are given in the last column.

    Prediction Formula

    Pred Formula differs from Predicted in that it contains the prediction formula. Right-click

    in the Pred Formula column heading and select Formulato see the prediction formula. The

    prediction formula can require considerable space if the model is large. If you do not need the formula with the

    column of predicted values, use the Save Columns > Predicted Valuesoption. For information about

    formulas, see the Using JMPbook.

    The Prediction Formula option is useful for predicting values in new rows or for use with the profilers. The

    profilers are available in the Fit Least Squares report (Factor Profiling). However, when your data table includes

    formula columns, you can also use the profilers provided in the Graphmenu. When you are analyzing multiple

    responses, accessing the profilers from the Graphmenu can be useful.

    Note: If you select Graph > Profilerto access the profilers, first save the formula columns to the data table

    using Prediction Formula and StdErr Pred Formula. Then place both of these formulas into the Y, Prediction

    Formula role in the Profiler window. After you click OK, specify whether you want to use PredSE to

    construct confidence intervals for Pred Formula . Otherwise, JMP creates a separate profiler plot for

    PredSE

    http://www.jmp.com/support/help/Mixed_and_Random_Effect_Model_Reports_and_Options.shtml