Regression Intercept Confidence Interval, is a method to decide closeness of two elements and is used to verify the reliability of estimation.
The place −
- = Regression intercept.
- = Variety of Predictors.
- = pattern dimension.
- = Customary Error.
- = Share of Confidence Interval.
- = t-value.
Compute the Regression Intercept Confidence Interval of following information. Whole variety of predictors (ok) are 1, regression interceptas 5, pattern dimension (n) as 10 and customary error as 0.15.
Allow us to think about the case of 99% Confidence Interval.
Step 1: Compute t-value the place.
Step 2:Regression intercept:
Step 3:Regression intercept:
Because of this, Regression Intercept Confidence Interval isor for 99% Confidence Interval.