Regression and Estimation

TOP/Collection of Applied Calculation Problems/Regression and Estimation

ライブラリ名	概要
Linear Regression	The program analyzes the entered distribution table using linear regression and plots a graph.
Logarithmic regression	We will analyze the entered distribution table using logistic regression and plot a graph.
Exponential regression	The entered distribution table will be analyzed using exponential regression and plotted on a graph.
AB index regression	The entered distribution table will be analyzed using AB-index regression and plotted on a graph.
Power Regression	The program analyzes the entered distribution table using power regression and plots a graph.
Inverse Regression	The program analyzes the entered distribution table using inverse regression and plots a graph.
Linear regression	We will analyze the entered distribution table using linear regression and plot a graph.
Regression Analysis (Integrated)	Perform a regression analysis on the entered distribution table using the selected curve regression method and plot the graph.
Regression estimates (aggregated)	Calculate the estimated values from the selected curve regression based on the entered distribution table, and plot the graph.
Regression Analysis (Graph Integration)	Perform regression analysis using the selected curve regression method on the entered distribution table and plot a graph. Process multiple independent data sets and display them together on a single graph.