EXPLAINING DIFFERENCES…EXPLAINING SIMILARITIES NATURE VS NURTURE.
Explaining Column
Transcript of Explaining Column
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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