assignment data science and big data analysis 4
- What is a logit and how do we compute class probabilities from the logit? (2 points)
- Compare and contrast linear and logistic regression methods. (3 points)
- 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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