ISyE 6414 Exam Bundle

Logistic regression, we model the__________________, not the response variable, given the predicting variables. - Answer- probability of a success g link function - Answer- link the probability of success to the predicting variables 3 assumptions of the logistic regression model - Answer- Line...

The prediction intervals need to be corrected for simultaneous inference when multiple predictions are made jointly. - Answer- The estimated versus predicted regression line for a given x* - Answer- If the confidence interval for a regression coefficient contains the value zero, we interpret...

In simple linear regression, the _______ of one member of the population will always be wider than the confidence interval of the mean response for all members of the population when using the same predicting value. - Answer- prediction interval (because they have additional variance from the varia...

ISYE 6414 - Midterm 1 Prep with complete solutions

Regression Analysis - Answer- Regression analysis is a simple way to investigate the relationship between 2 or more variables in a non-deterministic way. Response/Target Variable (Y) - Answer- This is a variable we're interested in understanding, modeling or testing This is a random variable...

Assuming that the data are normally distributed, under the simple linear model, the estimated variance has the following sampling distribution: - Answer- Chi-squared with n-2 degrees of freedom. The fitted values are defined as? - Answer- The regression line with parameters replaced with the esti...

The prediction interval of one member of the population will always be larger than the confidence interval of the mean response for all members of the population when using the same predicting values. - Answer- true See 1.7 Regression Line: Estimation & Prediction Examples "Just to wrap up the ...

Logistic Regression - Answer- Commonly used for modeling binary response data. The response variable is a binary variable, and thus, not normally distributed. In logistic regression, we model the probability of a success, not the response variable. In this model, we do not have an error term ...

ISYE 6414 Midterm Prep Questions with correct Answers

Least Square Elimination (LSE) cannot be applied to GLM models. - Answer- False - it is applicable but does not use data distribution information fully. In multiple linear regression with idd and equal variance, the least squares estimation of regression coefficients are always unbiased. - Answer...

1. If there are variables that need to be used to control the bias selection in the model, they should forced to be in the model and not being part of the variable selection process. - Answer- True 2. Penalization in linear regression models means penalizing for complex models, that is, models wi...

True - The relationship that links the predictors is highly non-linear. - Answer- In Logistic Regression, the relationship between the probability of success and the predicting variables is non-linear. False - In logistic regression, there are no error terms. - Answer- In Logistic Regression, the...