assignment data science and big data analysis 4

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  1. What is a logit and how do we compute class probabilities from the logit? (2 points)
  2. Compare and contrast linear and logistic regression methods. (3 points)
  3. Let x3 be the following vector: (18 points)

x3 <- c(0, 1, 1, 2, 2, 2, 3, 3, 4)

Imagine what a histogram of x3 would look like. Assume that the histogram has a bin width of 1. How many bars will the histogram have? Where will they appear? How high will each be?

When you are done, plot a histogram of x3 with bin width = 1, and see if you are right.

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