Texas Instruments NS/CLM/1L1/B Reference Guide - Page 46
Output variable, Description, LinRegMx, Catalog >
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Output variable stat.RegEqn stat.a, stat.b stat.r2 stat.r stat.Resid stat.XReg stat.YReg stat.FreqReg Description Regression Equation: a+b·x. Regression coefficients. Coefficient of determination. Correlation coefficient for linear model. Residuals of the curves fit: y - (a+b·x). List of data points in the modified X List actually used in the regression based on restrictions of Freq, Category List, and Include Categories. List of data points in the modified Y List actually used in the regression based on restrictions of Freq, Category List, and Include Categories. List of frequencies corresponding to stat.FreqReg and stat.YReg. LinRegMx LinRegMx X,Y[,Freq[,Category,Include]] Fits a y=mx+b linear regression model to X and Y with frequency Freq. A summary of results is stored in the stat.results variable. (See page 76.) Catalog > Output variable stat.RegEqn stat.m, stat.b stat.r2 stat.r stat.Resid stat.XReg stat.YReg stat.FreqReg Description Regression Equation: m·x+b. Regression coefficients: y = m·x+b. Coefficient of determination. Correlation coefficient for linear model. Residuals of the curves fit: y - (m·x+b). List of data points in the modified X List actually used in the regression based on restrictions of Freq, Category List, and Include Categories. List of data points in the modified Y List actually used in the regression based on restrictions of Freq, Category List, and Include Categories. List of frequencies corresponding to stat.XReg and stat.YReg. 40 TI-Nspire™ Reference Guide