This table contains information about the center line and the upper and lower control limits of the selected chart. There will be one column for each phase.
Classification table: Activate this option to display the table showing the percentage of well-classified observations for both categories. If a validation sample has been extracted, this table is also displayed for the validation data.
この表は、役位毎の中央値とし、業績連動報酬にかかる目標の達成率を100%とした場合のモデルです。
This table shows medians for each position, and it is a model in the event that the degree of achievement of targets for the performance-linked compensation is 100%.
This table shows the ordered descriptors from the most discriminating on the products to the least discriminating. Associated V-test and p-values are also displayed.
This table shows the adjusted mean for each product-descriptor combination. Colors correspond to a significant positive effect(blue) and a significant negative effect(red).
Let Y be a table of response variables with n observations and p variables. This table can be analyzed using Principal Component Analysis(PCA) to obtain a simultaneous map of the observations and the variables in two or three dimensions.
Statistics estimated on the input data and computed using the estimated parameters of the distribution: This table is used to compare the mean, variance, skewness and kurtosis coefficients calculated from the sample with those calculated from the values of the distribution parameters.
Predictions and residuals: This table displays giving for each observation the input data and corresponding prediction and residual. The outliers detected by the Dixon's test, if any, are displayed in bold.
Disjunctive table:This table is displayed only if the input data correspond to an observations/variables table.This table is an intermediary table that allows us to obtain the contingency table that corresponds to the two selected variables.
Factor pattern coefficients: This table displays the coefficients of the factor pattern to be displayed. Multiplying the(standardized) coordinates of the observations in the initial space by these coefficients gives the coordinates of the observations in the factor space.
Let T1 be a contingency table corresponding to the counts on n sites of p objects. This table can be analyzed using Correspondence Analysis(CA) to obtain a simultaneous map of the sites and objects in two or three dimensions.
Results for logistic regression in XLSTATCorrespondence between the categories of the response variable and the probabilities: This table shows which categories of the dependent variable have been assigned probabilities 0 and 1. Summary of the variables selection: Where a selection method has been chosen, XLSTAT displays the selection summary.
If a validation sample has been extracted, this table is also displayed for the validation data. Comparison of the categories of the qualitative variables: If one or more explanatory qualitative variables have been selected, the results of the equality tests for the parameters taken in pairs from the different qualitative variable categories are displayed.
Languages such as English, where there is often no clear connection between the written form and sound, as in words such as"cough" and"dough," can be more challenging for a person with dyslexia. This table will show how the condition presents at different stages of life. Improving Learning Disabilities.
Where the best model for a number of variables varying from p to q has been selected, the best model for each number or variables is displayed with the corresponding statistics and the best model for the criterion chosen is displayed in bold. Goodness of fit coefficients: This table displays a series of statistics for the independent model(corresponding to the case where the linear combination of explanatory variables reduces to a constant) and for the adjusted model.
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