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Value, which measures that how large is value of standard error in relevance to value of estimated coefficient is termed as
t-value
b-value
d-value
c-value
The t-value measures the size of the difference relative to the variation in your sample data. Put another way, T is simply the calculated difference represented in units of standard error. The greater the magnitude of T, the greater the evidence against the null hypothesis.
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