If the F test statistic is greater than the appropriate critical value, it means that at least one of the estimated slope coefficients is significantly different from zero.

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When the F test statistic is greater than the critical value, it indicates that the null hypothesis (which typically states that all coefficients are equal to zero, implying no relationship) can be rejected. This means there is evidence that at least one of the estimated slope coefficients in the regression model is significantly different from zero, suggesting a relationship between the independent variable(s) and the dependent variable.

If the F Test Statistic Is Greater Than the Appropriate