Hp Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 169)

Functions and commands 165

Example:

LinRegrTMeanResp({1, 2, 3, 4}, {3, 2, 0, -2},

2.5, 0.95) returns {2.5, 0.95, 4.302..., 2,

0.75, 0.193..., −0.083, 1.583...}

LinRegrTPredInt The linear regression prediction interval for a future response.

Given a list of explanatory variable data (X), a list of response

variable data (Y), a future X-value, and a confidence level,

returns a list containing the following values in the order

shown:

• X: the given future X-value

• C: the given confidence level

• DF: the degrees of freedom

• Ŷ: the mean response for the given future X-value

• serr Ŷ: the standard error of the mean response

• Lower: the lower bound of the prediction interval for the

mean response

• Upper: the upper bound of the prediction interval for the

mean response

LinRegrTPredInt(List1, List2, X-value, C-

value)

Example:

LinRegrTPredInt({1, 2, 3, 4}, {3, 2, 0, -2},

2.5, 0.95) returns {2.5, 0.95, 4.302..., 2,

0.75, 0.433..., −1.113..., 2.613...}

LinRegrTTest The linear regression t-test. Given a list of explanatory

variable data (X), a list of response variable data (Y), and a

value for AltHyp, returns a list containing the following values

in the order shown:

• T: the t-value

• P: the probability associated with the t-value

• DF: the degrees of freedom

• β

: the y-intercept of the regression line

• β

: the slope of the regression line

• serrLine: the standard error of the regression line

• serrSlope: the standard error of the slope

• serrInter: the standard error of the y-intercept

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Hp Prime Graphing Wireless Calculator Instrukcja Użytkownika Strona 169