What does t-value>2 mean?
| The measured value and the actual (known) value is in good agreement |
| The discrepancy between the measured value and the actual (known) is one standard deviation |
| The measured value and the actual (known) value is not in good agreement |
| The discrepancy between the measured value and the actual (known) is less than one standard deviation |
Ans: the t-statistic measures how many standard errors the coefficient is away from zero. Generally, any t-value greater than +2 or less than – 2 is acceptable. The higher the t-value, the greater the confidence we have in the coefficient as a predictor. Low t-values are indications of low reliability of the predictive power of that coefficient.
So ,here we can say The measured value and the actual (known) value is in good agreement
What does t-value>2 mean? The measured value and the actual (known) value is in good agreement...
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