
Tests
Input Example:
Syntax 1 (list format)
TwoSampleTTest “<”,list1,list2,1,1,Off
Syntax 2 (parameter format)
TwoSampleTTest “≠”,107.5,0.78,10,97.5,0.65,12,Off
Linear Regression t Test
Menu:
Description: This command treats two groups of data as paired variables (x, y). The method of least squares is used to determine the most appropriate pair for the a, b coefficients of the regression formula y = a + b.x. It also determines the correlation coefficient and t value, and calculates the strength of the relationship between x and y.
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| Σ( x – o)( y – p) |
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b = | a = p – b.o | t = r | n – 2 | ||||
i=1 | |||||||
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| 1 – r | 2 | ||||
| Σ(x – o)2 |
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| i=1 |
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a : regression constant term
b : regression coefficient (slope)
n : sample size (n >3)
r : correlation coefficient
r2 : coefficient of determination
Definition of Terms
β & ρ condition : test conditions (“≠” specifies
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| tail test, “>” specifies upper |
XList : | ||
YList : | ||
Freq : | frequency (1 or list name) | |
Calculation Result Output |
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β ≠ 0 & ρ ≠ 0 : | test condition | |
t : | t value | |
p | : | |
df : | degrees of freedom | |
a | : | regression constant term |
b | : | regression coefficient (slope) |
s : | standard error of estimation | |
r : | correlation coefficient | |
r2 : | coefficient of determination |
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