Download the documentation - True BASIC
Download the documentation - True BASIC
Download the documentation - True BASIC
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70 Statistics Graphics Toolkit<br />
ra_f F-statistic<br />
ra_p Prob(f)<br />
ra_r multiple R<br />
ra_r2 R-square<br />
ra_ar2 adjusted R-square<br />
ra_d Durbin-Watson d statistic<br />
ra_press PRESS statistic: ∑press(i) 2<br />
Exceptions:<br />
756 Too few observations in MultiLSFit.<br />
757 Dependent variable must be integer between i and j: y<br />
758 Singular matrix in MultiLSFit.<br />
759 MultiLSfit dataset can’t contain missing values.<br />
PrintMultiRegress (#n, d(,), y)<br />
PrintMultiRegress computes a multiple linear regression based on least-squares linear<br />
fitting, and <strong>the</strong>n prints a concise table of regression statistics.<br />
Channel #n must refer to an open window or a text file. Pass #0 to print in <strong>the</strong> current<br />
window.<br />
You must supply an array of data points d(,) in which each column is a dataset, and an<br />
index y that indicates which column of d(,) should be taken as <strong>the</strong> dependent variable.<br />
This y must be an integer in <strong>the</strong> range Lbound(d,2) to Ubound(d,2). Naturally d(,)<br />
must have at least two columns but <strong>the</strong>re is no upper bound on <strong>the</strong> number of columns.<br />
Exceptions:<br />
756 Too few observations in MultiLSFit.<br />
757 Dependent variable must be integer between i and j: y<br />
758 Singular matrix in MultiLSFit.<br />
759 MultiLSfit dataset can’t contain missing values.<br />
7004 Channel isn’t open.<br />
8501 Must be text file.<br />
01/01
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