
Linear Regression t Test
Command: LinRegTTest
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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 | n | 
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| 
 | Σ( x – o)( y – p) | 
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| 
 | a = p – b.o | 
 | n – 2 | ||||
| b = | i=1 | 
 | t = r | ||||
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| n | 
 | 1 – r | 2 | ||||
| 
 | Σ(x – o)2 | 
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i=1
a : regression constant term 
b : regression coefficient (slope)
n: sample size (n >3)
r: correlation coefficient
r2 : coefficient of determination
Command Syntax
“β & ρ condition”, XList, YList, Freq (or 1)
* “Freq” can be omitted. Doing so sets “1” for “Freq”.
Definition of Terms
β& ρ condition : test conditions (“≠” specifies 
| XList : | |
| YList : | |
| Freq : | frequency (1 or list name) | 
Input Example:
LinRegTTest “≠”,list1,list2,1
Calculation Result Output
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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