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Suppose we collect data for a group of students in a class with variables X1 =hours studied, X2 = undergrad GPA, and Y = probability of getting an A. We fit a logistic regression model and obtained BO = -6, B1 = 0.05, and B2 = 1. Based on this model, calculate the number of hours a student needs to study to have a 90% chance of getting an A in this class if their undergrad GPA is 3.5. Use the equation P(X) log( 1-p(X) = Bo + B;X; where p is the number of attributes, log is the natural logarithm, and p(X) is the probability of a student getting an A in the class. 77.73 58.11 54.01 93.94 71.97