10.25 What’s wrong? For each of the following, explain what is wrong and why.

  1. (a) In simple linear regression, the null hypothesis of the ANOVA F test is H0: β0 = 0.

  2. (b) In an ANOVA table, the mean squares add. In other words, MST = MSM + MSE.

  3. (c) The smaller the P-value for the ANOVA F test, the greater the explanatory power of the model.

  4. (d) The total degrees of freedom in an ANOVA table are equal to the number of observations n.