HP Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 457)

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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 condence level, returns a list containing the

following values in the order shown:

●

X: the given future X-value

●

C: the given condence 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

●

serrInter: the standard error of the intercept

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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, Cvalue)

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

●

: the y-intercept of the regression line

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: the slope of the regression line

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serrLine: the standard error of the regression line

●

serr Ŷ: the standard error of the mean response

●

serrSlope: the standard error of the slope

●

serrInter: the standard error of the y-intercept

●

r: the correlation coeicient

●

: the coeicient of determination

The values for AltHyp are as follows:

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1 2 ... 452 453 454 455 456 457 458 459 460 461 462 ... 700 701

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