Multiple Regression Input Page

Enter the data in the textarea provided below, or input file containing the data. The input format is x i1,... x ip, y i.
It is assumed that the intercept model will be fit, do not input the intercept.
Currently, the program has a limit of 2000 on the sample size.
You can enter a label for the data, the label should be entered as a space delimited string. A label for the example data set is provided in the label area. An example input data set is provided below the submit button.

Testing a subset of the betas are all 0.
User is allowed to enter one reduced model. In the output the parameter estimates of reduced model and F-s tatistic for testing the reduced model will be provided. In the text area for reduced model, enter the betas to included in the reduced model. The other betas will be tested to 0.
For the example data set provided on this page, assume we want to test beta_1 = 0. Then the reduced model only includes x2. Hence the number 2 is put into the text window where it says Enter column ids, 1 to p, to include in reduced model:.
Data Input
File containing data for analysis:
Enter labels for the data, separated by a space:
Enter column ids, 1 to p, to include in reduced model:
Intercept Based On:
Median of the Residuals
Hodges-Lehmann type Location Estimate of the Residuals
Data Plots Available:
Matrix Plot Predictors vs Response
Residual Plots Available:
R Fits vs R Residuals
Boxplot, Dotplot and Histogram of R Residuals
Q-Q Plot of R Residuals Quantile:
Studentized Residual Plots Available:
R Fits vs R Studentized Residuals
Boxplot, Dotplot and Histogram of R Studentized Residuals
Q-Q Plot of R Studentized Residuals Quantile:
Example input data set:
7 33 42
4 41 33
16 7 75
3 49 28
21 5 91
8 31 55
7 35 52
5 30 16
15 10 69
20 10 94

There are ten observations in the data set, with two independent variables, each row represents and (x i1,x i2 , y i).