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Cheat sheet - exam 2
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Cheat sheet - exam 2
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Exam 2 Cheat Sheet1. A quarter-back throws the football 15 times and 4/11
connects with the intended receiver in 4 of those
throws. What are the odds of the quarter-back con-
necting with the intended receiver?
2. Which of the following statements is TRUE about All of the above.
the odds?
a) Odds varies from zero to plus infinity.
b) Odds is 1 when the probability is 50%.
c) Odds is commonly expressed as the likelihood of
an event occurring.
d) All of the above.
3. Before installing an anti-virus program, the proba- 0.5
bility of virus attack was 0.40. After installing the
anti-virus program, the probability of virus attack
became 0.25. What is the odds ratio of the virus at-
tack after installing the program compared to before
installing the program?
4. Which of the following is a reason to use Log Odds a.) Log Odds is sym-
in logistic regression estimation? metric varying from
minus infinity to plus
a.) Log Odds is symmetric varying from minus infin- infinity.
ity to plus infinity.
b.) Log Odds bounds the value of a categorical
target between 0 and 1.
c.) Log Odds is highly positive for low probabilities.
d.) None of the above.
5. Which of the following is a reason for linear re- The linear regression
gression not being appropriate for a binary target equation can gener-
variable: ate *unbounded pre-
*It can generate ...* dicted values*
6. Clustering *cannot* be used for predicting the what Predicting profitable
stores? stores
1/4
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