TI-89 / TI-92 Plus / Voyage™ 200 PLT Statistics with List Editor App ‰ Ints (Intervals) Menu 193
MultRegInt
Description
2 ‰ (
Ints) Æ 8:MultRegInt for the TI-89
‰ (Ints) Æ 8:MultRegInt for the TI-92 Plus / Voyage™ 200 PLT
Computes multiple regression prediction confidence interval for the calculated y_hat
and a confidence for ÿ.
Inputs
Num of Ind Vars Number of independent x lists.
Y List Dependent variable (a list).
X1 List Sample data of independent variable List 1.
X2 List Sample data of independent variable List 2.
X Values List The list of x values used to evaluate the computed y value y_hat. There
must be an x value for each independent variable.
C Level (optional) Confidence level probability with default = .95
Outputs
Outputs Stored to Description
y_hat y_hat A point estimate: y_hat = B0 + B1 * xl +...
df dferr Error degrees of freedom.
C Int lower,
upper
The confidence interval for a mean y_hat.
ME me Confidence interval margin of error.
SE se Standard error for confidence interval.
Pred Int lowerprd
upperrpd
Prediction interval for y_hat.
ME meprd Interval margin of error that you can predict.
SE seprd Standard error for an interval that you can predict.
B List blist List of regression coefficients, {B0,B1,...}.
X Values xvalist The input X values at which y_hat is calculated.
resid* resid Residuals of the curves fit y = B0 + B1 * x1 + B2 * x2 +...
* The output variables are pasted to the end of the list editor when Results!Editor option is YES,
(located in ƒ (Tools) 9:Format).
To Next Page
Loading...
Need help?
General
