Let's assume the analytics branch of the NBA wants to develop a model to classify a player as either getting drafted or not (0 = not drafted, 1 = was drafted) into the NBA based on their average points, rebounds, and assists in the previous season. The data is below from 12 college players. Please enter the data into Excel and answer the questions that follow. The following weblink provides a brief tutorial for doing this in Excel: https://www.statology.org/logistic-regression-excel/

Draft: 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0

Points: 12, 11, 14, 15, 12, 12, 9, 16, 6, 22, 18, 15

Rebounds: 3, 4, 5, 5, 5, 3, 4, 7, 2, 4, 8, 6

Assists: 5, 5, 6, 6, 4, 7, 3, 9, 8, 8, 6, 7

1a. Why is logistic regression an appropriate technique for solving this problem?

1b. Suppose a college player from The Ohio State University plans to enter the draft. He averages 15 points per game, 5 rebounds per game, and 6 assists per game. What is the probability this player will get drafted into the NBA?

1c. Based on the probability value computed in 1b, what can you conclude?

1d. Describe one other classification technique in learned in the MSBA program that can be used to classify a binary response variable.