Multivariate regression analysis

Abstract

There is disclosed apparatuses and methods for performing stepwise regression analysis on industry data. These apparatuses include a processor and memory which comprise circuits and software for performing the instructions on a storage medium comprising accessing a set of data specific to a business environment wherein the set of data comprises a set of values for a set of variables that describe a business environment; receiving a selection of a first variable from the set of variables; generating a correlation table, wherein the correlation table is generated by determining a correlation between the first variable and each remaining variable in the set of variables; and rank-ordering each of the remaining variables in the set of variables based on the correlation; and displaying the correlation table.

It is claimed: 
     
         1 . An apparatus for stepwise regression analysis comprising:
 a user input device   a display device   a processor   a memory   wherein the processor and the memory comprise circuits and software for performing the instructions on a storage medium
 accessing a set of data specific to a business environment wherein the set of data comprises a set of values for a set of variables that describe the business environment; 
 receiving a selection of a first variable from the set of variables; 
 generating a correlation table, wherein the correlation table is generated by determining a correlation between the first variable and each remaining variable in the set of variables; and 
 rank-ordering each of the remaining variables in the set of variables based on the correlation; and 
 displaying the correlation table. 
   
     
     
         2 . The apparatus of  claim 1  further comprising receiving a selection of a second variable from the correlation table and creating an equation using the selection of the first variable and the second variable. 
     
     
         3 . The apparatus of  claim 2  wherein the first variable is price. 
     
     
         4 . The apparatus of  claim 3  wherein the second variable is displacement. 
     
     
         5 . The apparatus of  claim 1  wherein the set of data comprises data for the helicopter industry. 
     
     
         6 . The apparatus of  claim 1  wherein the set of data comprises data for the ATV industry. 
     
     
         7 . A method for stepwise regression analysis comprising
 accessing a set of data specific to a business environment wherein the set of data comprises a set of values for a set of variables that describe the business environment;   receiving a selection of a first variable from the set of variables;   generating a correlation table, wherein the correlation table is generated by determining a correlation between the first variable and each remaining variable in the set of variables; and   rank-ordering each of the remaining variables in the set of variables based on the correlation; and   displaying the correlation table.   
     
     
         8 . The method of  claim 7  further comprising receiving a selection of independent second variable from the correlation table and creating an equation using the selection of the first variable and the second variable. 
     
     
         9 . The method of  claim 8  wherein the first variable is price. 
     
     
         10 . The method of  claim 9  wherein the second variable is displacement. 
     
     
         11 . The method of  claim 7  wherein the set of data comprises data for the helicopter industry. 
     
     
         12 . The method of  claim 7  the set of data comprises data for the ATV industry. 
     
     
         13 . A method for stepwise regression analysis comprising
 receiving a request to create a demand chart showing an aggregate demand for a set of data specific to a business environment wherein the set of data comprises a set of values for a set of features that describe the business environment;   creating a set of bins to separate the set of data in the demand chart;   creating a demand frontier curve, comprising a curve showing the highest value in the set of values for each set of bins;   creating an average demand curve, comprising a curve which shows an average for each of the set of bins and is determined by determining the average for the set of values for each of the set of bins; and   determining an aggregate demand curve based on the demand frontier curve and the average demand curve.   
     
     
         14 . The method of  claim 13  wherein the set of bins are moved after the demand frontier curve is created and causing the demand frontier curve to change after the bins have been changed. 
     
     
         15 . The method of  claim 13  wherein the set of data comprises data for the helicopter industry. 
     
     
         16 . The method of  claim 13  the set of data comprises data for the ATV industry. 
     
     
         17 . An apparatus for stepwise regression analysis comprising:
 a user input device   a display device   a processor   a memory   wherein the processor and the memory comprise circuits and software for performing the instructions on a storage medium
 accessing a set of data specific to an economic industry wherein the set of data comprises a set of values for a set of features that describe the business environment; 
 receiving a selection of a first variable from the set of variables; 
 generating a correlation table, wherein the correlation table is generated by determining a correlation between the first variable and each remaining variable in the set of variables; and 
 rank-ordering the remaining variables in the set of variables based on the correlation; and 
 displaying the correlation table. 
   
     
     
         18 . An apparatus for stepwise regression analysis comprising:
 a user input device   a display device   a processor   a memory   wherein the processor and the memory comprise circuits and software for performing the instructions on a storage medium
 accessing an equation to use on a set of data specific to an economic industry wherein the set of data comprises a set of values for a set of features that describe a business environment; 
 receiving a selection of a first variable, a second variable, a third variable, and a fourth variable from the set of variables; 
 generating a mapping of the first variable, the second variable, the third variable, and the fourth variable to each of a vertical axis, a first horizontal axis, a second horizontal axis and a third horizontal axis in a 4-Dimensional coordinate system; 
 generating a graph on the 4D coordinate system wherein the graph is a result of analyzing the set of values for each of the first variable, the second variable, the third variable and the fourth variable; 
 displaying the graph. 
   
     
     
         19 . The apparatus of  claim 18  further comprising receiving a selection of a fifth variable from the set of variables to filter out from the set of data. 
     
     
         20 . The apparatus of  claim 18  further comprising receiving a selection of a sixth variable from the set of variables to highlight from the set of data.