Excel and Minitab both provide the p-value for testing each coefficient in the multiple regression model. In the case of $b _ { 2 }$ , this represents the probability that:
A) $\left| b _ { 2 } \right|$ could be this large if Ho: $\beta _ { 2 } \neq 0$ is really true
B) $\left| b _ { 2 } \right|$ could be this large if Ho: $\beta _ { 2 } = 0$ is really false
C) $\left| b _ { 2 } \right|$ could be this large if Ho: $\beta _ { 2 } \neq 0$ is really true.
D) $\left| b _ { 2 } \right|$ could be this large if Ho: $\beta _ { 2 } = 0$ is really true.

Question

Quizplus · Accepted Answer

The p-value represents the probability of observing a test statistic as extreme as, or more extreme than, the observed value under the null hypothesis that $\beta _ { 2 } = 0$ is true.

Excel and Minitab Both Provide the P-Value for Testing Each b2b _ { 2 }b2​

Excel and Minitab Both Provide the P-Value for Testing Each $b _ { 2 }$