Texas Instruments TINSPIRE Reference Guide - Page 72

Output variable stat.AdjR2 stat.s stat.DW stat.dfReg stat.SSReg stat.MSReg stat.dfError stat.SSError stat.MSError stat.bList stat.tList stat.PList stat.SEList y stat. List stat.Resid stat.sResid stat.CookDist stat.Leverage Description Adjusted coefficient of multiple determination Standard deviation of the error Durbin-Watson statistic; used to determine whether first-order auto correlation is present in the model Regression degrees of freedom Regression sum of squares Regression mean square Error degrees of freedom Error sum of squares Error mean square {b0,b1,...} List of coefficients List of t statistics, one for each coefficient in the bList List P-values for each t statistic List of standard errors for coefficients in bList yList = b0+b1·x1+ . . . Residuals from the regression Standardized residuals; obtained by dividing a residual by its standard deviation Cook's distance; measure of the influence of an observation based on the residual and leverage Measure of how far the values of the independent variable are from their mean values N nCr( ) nCr(Value1, Value2) ⇒ expression For integer Value1 and Value2 with Value1 | Value2 | 0, nCr() is the number of combinations of Value1 things taken Value2 at a time. (This is also known as a binomial coefficient.) nCr(Value, 0) ⇒ 1 nCr(Value, negInteger) ⇒ 0 nCr(Value, posInteger) ⇒ Value·(ValueN1)... (ValueNposInteger+1)/ posInteger! nCr(Value, nonInteger) ⇒ expression!/ ((ValueNnonInteger)!·nonInteger!) nCr(List1, List2) ⇒ list Returns a list of combinations based on the corresponding element pairs in the two lists. The arguments must be the same size list. nCr(Matrix1, Matrix2) ⇒ matrix Returns a matrix of combinations based on the corresponding element pairs in the two matrices. The arguments must be the same size matrix. Catalog > 66 TI-Nspire™ Reference Guide