A study tried to identify activities that help managers' success. To measure a manager's success an index was devised where higher score indicates larger success in the company. One element of interest was the amount of interactions with outsiders' in relation to the manager's success. Data were collected for 19 managers that included the index of success and the number of interactions with outsiders. Manager Success Index 28 35 30 32 32 42 47 30 51 52 53 60 30 63 70 73 80 81 95 Number of interactions 28 40 20 45 12 21 40 10 33 65 42 83 18 82 20 71 70 68 81 SUMMARY OUTPUT Regression Statistics Multiple R 0.745653 R Square 0.555998 Adjusted R 0.52988 Standard El 14.15094 Observatio 19 ANOVA df F ignificance F 21.2881 0.000248 Regression Residual Total SS MS 1 4262.923 4262.923 17 3404.234 200.2491 18 7667.158 Coefficientsandard Erre t Stat P-value Lower 95% Upper 95% ower 95.0%/pper 95.0% Intercept 24.81518 6.687206 3.710844 0.001736 10.70641 38.92395 10.70641 38.92395 Number of 0.603665 0.130836 4.613903 0.000248 0.327625 0.879705 0.327625 0.879705 Success Score=0.60 + 24.81*Interactions. Whether correct or not, based on this equation answer questions 2.1 and 2.2 2.1 Which answer would be correct for John from the answers provided below? a. For every unit of the slope, the intercept increases by 24.81 units. b. One unit increase of the slope leads to 0.60 units increase of the success score c. The slope means that for every unit increase of the success score, the number of interactions will increase by 24.81 on the average. d. None of the above is correct 2.2 Which answer should John select with respect to the predicted success score of a manager with no interactions at all? a. 24.81 b. 0.60 c. The given equation should not be used to make the requested prediction. d. None of the above