Complete the following table: Suppose that a Factorial Design yielded the following ANOVA table: Source df SS MS VR P A 1 2021.8 2021.8 6.18 0.023 B 2 48765.6 24382.8 74.59 0.000 AB 2 583.7 291.9 0.89 0.427 Error 18 5884.1 326.9 Total 23 57255 .2 From this table, which of the following is the most correct interpretation? a) The null hypothesis regarding the levels of factor A was rejected, but null hypothesis regarding the levels of factor B was not rejected. b) Different combinations of levels of the two factors produce different effects. c) Because both main effects and the interaction were significant, all three should be included in the practical conclusion. d) The null hypothesis regarding the levels of factor A was not rejected, but null hypothesis regarding the levels of factor B was rejected. Therefore, the interaction term cannot be significant. e) Because the null hypothesis regarding the levels of factors A and B were both rejected, the interaction term cannot be significant. f) Because the interaction was significant, the main effects cannot be interpreted. g) None of these. Consider the following dataset: XA XB Y What is the correlation coefficient between XA and Y? 5.4 5.6 0.083 4.75 5.1 0.1 What is the correlation coefficient between X and Y? 4.6 4.6 0.021 4.6 5 0.065 4.55 4.9 0.056 Which variable is more strongly correlated to Y