1. Character strings in a graph

2. Preservation of a gragh image

Windows (using Paint)

Macintosh (using Preview)

Linux, Windows and Macintosh (using OpenOffice)

3. Function model fitting

Click here for the function model fitting.

Fit summary

4. Multiple linear regression

The multiple linear regression model assumes that the statistical relationship between the response variable Yi and the explanatory variables xij is of the form
where (j=0,1,2,...,k) are the regression parameters, xij(i=1,2,...,n, j=1,2,...,k) the explanatory variables, denotes the independent normal random variables with zero mean and common variance .

Click here for the multiple linear regression more.

Kazushi Neichi
Department of Business Administration, Tohoku Gakuin University