HP Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 456)

100

101

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Lower: the lower bound of the condence interval for the slope

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Upper: the upper bound of the condence interval for the slope

LinRegrTConfSlope(List1, List2, C-value)

Example:

LinRegrTConfSlope({1,2,3,4},{3,2,0,-2},0.95) returns {0.95, 4.302..., 2, -1.7, 0.1732...,

-2.445..., -0.954...}

LinRegrTConfInt

The linear regression condence interval for the intercept. Given a list of explanatory variable data (X), a list

of response variable data (Y), and a condence level, returns a list containing the following values in the order

shown:

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C: the given condence level

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Critical T: the value of t associated with the given condence level

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DF: the degrees of freedom

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: the intercept of the linear regression equation

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serrInter: the standard error of the intercept

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Lower: the lower bound of the condence interval for the intercept

●

Upper: the upper bound of the condence interval for the intercept

LinRegrTConfInt(List1, List2, C-value)

Example:

LinRegrTConfInt({1, 2, 3, 4}, {3, 2, 0, - 2},0.95) returns {0.95, 4.302..., 2, 5,

0.474..., 2.959..., 7.040...}

LinRegrTMean-Resp

The linear regression condence interval for a mean response. Given a list of explanatory variable data (X), a

list of response variable data (Y), an X-value, and a condence level, returns a list containing the following

values in the order shown:

●

X: the given X-value

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C: the given condence level

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DF: the degrees of freedom

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Ŷ: the mean response for the given X-value

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serr Ŷ: the standard error of the mean response

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serrInter: the standard error of the intercept

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Lower: the lower bound of the condence interval for the mean response

●

Upper: the upper bound of the condence interval for the mean response

LinRegrTMeanResp(List1, List2, X-value, Cvalue)

Example:

408 Chapter 22 Functions and commands

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