Refer to the data lable below. Complete parts (a) through (d). Click on the icon to view the data table. a. Find the best regression equation with IQ score as the response variable. Use predictor variables of brain volume (VOL) and/or weight (W) Select the correct choice and fill in the answer boxes to complete your choice. (Round to four decimal places as needed.) O A. IQ=+ ( ) VOL X O B. 1Q=+ DW IQ, Brain Volume, and Weight Data Table O C. 10 =+() VOL + (W IQ Brain Volume Body Weight b. Why is this equation best? (cm (kg) 96 1007 57 558 A. It is the best equation of the three because it has the highest adjusted R , the lowest P-value, and the greatest number of predictor variables. 88 963 58.012 87 1034 64 894 B. It is the best equation of the three because it has the lowest adjusted R , the lowest P-value, and the greatest number of predictor variables. 87 1028 58 671 It is the best equation of the three because it has the highest adjusted R", the lowest P-value, and the fewest number of predictor variables. 100 1279 63.131 103 1275 61.954 D. It is the best equation of the three because it has the lowest adjusted R . the highest P-value, and the fewest number of predictor variables. 103 1051 133 315 . Based on these results, can a researcher predict someone's IQ score if he or she knows the volume and weight of their brain? 97 1077 107 819 128 1035 62.413 A. No, because the adjusted R value is high. Predictions using the regression equation are unlikely to be accurate. 126 1071 83 583 100 1175 61 106 O B. Yes because the adjusted R value is low. Predictions using the regression equation are likely to be accurate. 95 1079 61 296 O C. No, because the adjusted R value is low. Predictions using the regression equation are unlikely to be accurate. 93 1066 83 865 88 1 106 79.395 D. Yes, because the adjusted R value is high. Predictions using the regression equation are likely to be accurate, 95 1350 97 113 84 1441 100.834 Based on these results, does it appear that people with larger brains have higher IQ scores? 98 1029 81 695 A. No, because the regression equation does not have overall significance. 113 1 102 88.751 113 1202 79.391 B. No, because the regression equation has overall significance, but the coefficient of brain volume is negative. 125 1158 72 351 C. Yes, because even though the regression equation does not have overall significance, the coefficient of brain volume is positive. Brain Volume Body Weight D. Yes, because the regression equation has overall significance and the coefficient of brain volume is positive. (cm (kg) Print Done