ISYE 6414 Regression Analysis - Endterm Closed Book Section - Part 1. Score 100%. Georgia Institute Of Technology Endterm Closed Book Section - Part 1 Score for this quiz: 40.5 out of 50 Submitted Dec 5 at 5pm This attempt took 52 minutes. Question 1 1.5 / 1.5 pts The adjusted R-squared of a multip...
Endterm Closed Book Section - Part 1 • Due Dec 6 at 11:59pm • Points 50 • Questions 30 • Available Dec 1 at 8am - Dec 6 at 11:59pm 6 days • Time Limit 90 Minutes Instructions Please slowly show both sides of each piece of scratch paper to the camera before beginning. Then show both sides of your formula sheets. You may use Honorlock's on -screen calculator, your computer's calculator app or a physical calculator but you may not use your phone calculator. Phones are prohibited in both exam sections. It is your responsibility to keep track of your time and submit before the time limit. The Honorlock support team is available 24/7. The Honorlock support agents provide best -in-class support, and each one is trained to offer quick and consistent assistance. Whether you’re testing at two in the morning or on a weekend evening or over a holiday, you can call at any time and get help from a human. They'll troubleshoot anything you’re hav ing problems with and make your online testing experience as smooth as possible. Honorlock Student Support: 1 (844) 243 -2500 Honorlock Student Support Email: support@honorlock.com Honorlock Student Hours: Support is available 24/7/365 This quiz was locked Dec 6 at 11:59pm. Attempt History Attempt Time Score LATEST Attempt 1 52 minutes 40.5 out of 50 Score for this quiz: 40.5 out of 50 Submitted Dec 5 at 5pm This attempt took 52 minutes. Question 1 1..5 pts The adjusted R -squared of a multiple linear regression model is not greater than its R -
squared. Correct! True False Question 2 1..5 pts When using the same variable selection criteria, forward stepwis e regression and backward stepwise regression always select the same set of predictors. True Correct! False Unit 5.1.4: Forward stepwise regression does not necessarily select the same model as the one selected using backward stepwise regression, especially when p is large. Question 3 1..5 pts Goodness -of-fit assessment for logistic regression with replications involves checking for the independence, constant variance, and normality of the deviance residuals. True Corre ct! False Unit4.1.1: There is no constant variance assumption in logistic regression. Question 4 1..5 pts When we conduct a goodness -of-fit test for a Poisson regression model, a p- value smaller than a predetermined significance level suggests a good fit. True Correct! False See Unit 4.5.19: The null hypothesis of testing goodness -of-fit for Poisson model is "the model fits data". So we want large p -values to "fail to reject" null hypothesis. Question 5 1..5 pts AIC and BIC are bias -corrected estimators of the prediction risk. Correct!
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