Data prediction system, data prediction method, and data prediction program by regression analysis applying probability density function to explanatory variables

摘要

Provided are a data prediction system, a data prediction method, and a data prediction program that are easy to use for users and can improve the prediction accuracy, and can set the input variable setting range of a data item to be predicted appropriately based on a probability density function. . A data prediction system according to the present invention includes a means for calculating a probability density function for each data item included in observation data, one of the data items as an objective variable, and one of the remaining data items. A means for setting a regression equation having the above as explanatory variables, a means for calculating a regression coefficient corresponding to each explanatory variable of the set regression equation, and an input value to be substituted for the explanatory variable of the data item to be predicted The probability density is calculated from the probability density function of the data item and displayed, and a means for setting the numerical value or numerical range for performing the prediction calculation from the assigned input value, and the numerical value or numerical range set in the regression equation are substituted. And means for calculating the value of the objective variable. [Selection] Figure 2