What can we conclude if the global test of regression does not reject the null hypothesis quizlet?

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Which of the following is NOT true for a hypothesis test for​ correlation?

A.) If​|r|>critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.Your answer is correct.

B.) If l r l ≤critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

C.) If the​ P-value is less than or equal to the significance​ level, we should reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

D.) If the​ P-value is greater than the significance​ level, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

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What can we conclude of the global test of regression does not reject the null hypothesis?

What can we conclude if the global test of regression rejects the null hypothesis? In multiple regression, a dummy variable is significantly related to the dependent variable when: the test of the dummy variable's regression coefficient is rejected.

What is the null hypothesis for a regression test?

The null hypothesis states that all coefficients in the model are equal to zero. In other words, none of the predictor variables have a statistically significant relationship with the response variable, y.

How do you accept or reject the null hypothesis in regression?

The p-value for each term tests the null hypothesis that the coefficient is equal to zero (no effect). A low p-value (< 0.05) indicates that you can reject the null hypothesis.

What is the null hypothesis to test the significance of the slope in a regression equation?

The null hypothesis states that the slope is equal to zero, and the alternative hypothesis states that the slope is not equal to zero.