Exam 16: Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,

A soccer player takes a shot on goal 15 times and scores a goal 3 of those attempts. What are the odds of the soccer player scoring a goal?

In logistic regression, deviance is a measure of difference between a ________ model and the ________ model.

When evaluating results from a Hosmer-Lemeshow goodness-of-fit chi-square statistic value of 4.2, you notice the p-value of the statistic is .181. What does this imply?

Explain the odds formula and give an example of when it is utilized.

The natural logarithm of the odds is called the logit.

The confusion matrix helps you assess your model's accuracy and avoid overfitting.

A dummy variable is a continuous variable.

In logistic regression the goal is to predict the true value of the independent variable.

An example of a dummy variable is used in categorical data applications and might include

Assume a dependent variable is coded as y =1 if the customer buys the shirt and 0 if the customer does not buy the shirt. The only data you have available to help predict whether the customer will buy the shirt or not buy the shirt is if they are customers of BankOne, coded as x =1, or NOT a customer of BankOne coded as x = 0. What is the interpretation of E(y) when x = 0?

Deviance, Pearson and Hosmer-Lemeshow are all ________ that can be used in ________.

After calculating the squared differences in linear discriminate analysis, you can estimate the probability of how that specific observation fares with regard to the categorical outcome.

Your supervisor has asked you to analyze all of the sales receipts for your company for the entire year to determine the average sales per customer, depending on whether the customer used a credit card, or another form of payment. What would your dependent variable be in this case and how would you label it?

The odds of an event occurring is the probability that the event will occur divided by the probability that the event will not occur.

It is not possible to apply a logistic regression using a neural network algorithm.

Define point estimate. What does the point estimate tell you about the sample?

What are the three layers in a single layer perceptron? Define each.

The odds of an event occurring is: A. The probability that the event will occur divided by the probability that the event will not occur. B. The probability that the event will not occur divided by the probability that the event will occur. C. The probability that the event will occur divided by the total of the probability that it will occur, plus the probability of the event not occurring.

Linear discriminate analysis can classify accurately even when the assumptions are not valid.

Below gives the data concerning (1) the dependent variable Default which equals 1 if a customer defaults on their loan and 0 if they do not; (2) the independent variable Price of Home, which is the price of the home (in tens) and (3) the independent variable First Purchase which equals 0 if the customer has owned a home before and 1 if this is their first home. Identify and interpret the odds ratio estimate for First Purchase.