Isye 641 - Study guides, Class notes & Summaries

response (dependent) variables - one particular variable that we are interested in understanding or modeling (y) predicting or explanatory (independent) variables - a set of other variables that might be useful in predicting or modeling the response variable (x1, x2) What kind of variable is a response variable and why? - random, because it varies with changes in the predictor/s along with other random changes. What kind of variable is a predicting variable and why? - fixed, because it ...

ISYE 6414 FINAL EXAM REVIEW QUESTIONS AND 100% CORRECT ANSWERS 2024

ISYE 6414 REGRESSION MIDTERM 1 REAL EXAM 2023/2024 What are the variables in regression? -CORRECT ANSWER1. Response (dependent) variable - one particular variable that we are interested in understanding or modelling, such as sales of a particular product. 2. Predicting or Explanatory (independent) variable - set of other variables that we think might be useful in predicting or modelling the response variable (like the price of a product) Which regression variable is a Random variabl...

ISYE 6414 REGRESSION MIDTERM 2 REAL EXAM QUESTIONS WITH VERIFIED ANSWERS LATEST UPDATE 2023/2024 In logistic regression, the relationship between the probability of success and the predicting variables is nonlinear. --CORRECT ANSWER--> TRUE: The equation that links the predictors to the probability is:

Final Exam – Part 1 Solutions 1. We should always use mean squared error to determine the best value of lambda in lasso regression. a. True b. False Sol: False. The criterion used is a choice we make. 2. Standard linear regression is an example of a generalized linear model where the response is normally distributed and the link is the identity function. a. True b. False Sol: True. See Unit 4.4.1. 3. Goodness-of-fit assessment for logistic regression involves checking for the indepe...

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 error terms follow a normal distribution. True - the logit function is also known as the log-odds function, which is the ln(P/1-p). - Answer- The logit function is the log of the ratio of the prob...

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ISYE 6414 Midterm Cheat Sheet | Download to Score A+

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Logistic regression, we model the__________________, not the response variable, given the predicting variables. correct answers probability of a success g link function correct answers link the probability of success to the predicting variables 3 assumptions of the logistic regression model correct answers Linearity, Independence, Logit link function Logistic Model: Linearity assumption correct answers Similar to the regression model we have learned in the previous lectures, the relatio...