Considering the tables below, which of the following statements is justified? Pr > F bound bound It (95%) (95%) 0.00 47241.82 182505.59 0.03 -43205.60 -2461.30 0.30 -55640.82 17103.75 3.33 -2.20 Intercept 114873.71 34449.01 BDSP -22833.45 10376.77 MODEM -19268.54 18526.61 MRGP 22.86 16.47 BDSP MODEM 8426.48 5717.06 -1.04 1.39 0.17 -9.47 55.19 1.47 3.23 3.58 BDSP MRGP 11.57 MODEM*MRGP -10.71 0.14 -2797.53 19650.48 0.00 5.23 17.90 0.12 -24.06 2.65 6.80 - 1.57 While the overall model is "significant", some of the predictors/interactions are not. If we remove some of the predictors, the remaining values will all change. While the overall model is not "significant", some of the predictors/interactions are. If we remove some of the predictors, the remaining values will all change. While the overall model is "significant", some of the predictors/interactions are not. If we remove some of the predictors, the remaining values will all remain the same. While the overall model is not "significant", some of the predictors/interactions are. If we remove some of the predictors, the remaining values will all remain the same. Considering the tables below, which of the following statements is justified? Pr > F bound bound It (95%) (95%) 0.00 47241.82 182505.59 0.03 -43205.60 -2461.30 0.30 -55640.82 17103.75 3.33 -2.20 Intercept 114873.71 34449.01 BDSP -22833.45 10376.77 MODEM -19268.54 18526.61 MRGP 22.86 16.47 BDSP MODEM 8426.48 5717.06 -1.04 1.39 0.17 -9.47 55.19 1.47 3.23 3.58 BDSP MRGP 11.57 MODEM*MRGP -10.71 0.14 -2797.53 19650.48 0.00 5.23 17.90 0.12 -24.06 2.65 6.80 - 1.57 While the overall model is "significant", some of the predictors/interactions are not. If we remove some of the predictors, the remaining values will all change. While the overall model is not "significant", some of the predictors/interactions are. If we remove some of the predictors, the remaining values will all change. While the overall model is "significant", some of the predictors/interactions are not. If we remove some of the predictors, the remaining values will all remain the same. While the overall model is not "significant", some of the predictors/interactions are. If we remove some of the predictors, the remaining values will all remain the same