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ISYE 6414 Study guides, Class notes & Summaries
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ISYE 6414 REGRESSION MIDTERM 1 REAL EXAM 2023/2024
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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...
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ISYE 6414 Final Exam with complete solutions
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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 Final Exam Review Complete Questions And Answers
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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-True - the least squares estimates are BLUE (Best Linear 
Unbiased Estimates) in multiple linear regression. 
Maximum Likelihood Estimation is not applicable for simple linear regression and multiple ...
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ISYE 6414 Final Questions And Answers With Verified Solutions
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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 with a 
large number of predictors. - Answer-True 
3. Elastic net regression uses both penalties of the ridge and lasso regression and hence combines the 
benefits of both. - Answer-True 
4. Variable sele...
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ISYE 6414 - Final questions and answers all are graded A+
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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 
g-function - Answer-We link the probability of success to the predicting variables using the g link 
function. The g function is the s-shape function that models the probability of success with respect to...
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ISYE 6414 Midterm Prep Exam Questions with Verified Solutions
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ISYE 6414 Midterm Prep Exam Questions with Verified Solutions
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ISYE 6414 Midterm, Summer 2024- Questions with Answers
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ISYE 6414 Midterm, Summer 2024- Questions with Answers
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ISYE 6414 Final Exam|40 Accurate Questions and Answers
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ISYE 6414 Final Exam|40 Accurate Questions and Answers
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ISYE 6414 Final Exam/67 Q’s and A’s (Modules 4-5)
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ISYE 6414 Final Exam/67 Q’s and A’s (Modules 4-5)
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ISYE 6414 - Midterm Exam – 60 Questions and Answers
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ISYE 6414 - Midterm Exam – 60 Questions and Answers
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ISYE 6414 Final Exam Review/111 Questions and answers 2024
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ISYE 6414 Final Exam Review/111 Questions and answers 2024
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ISYE 6414 Final Exam Review/111 Questions and answers 2024
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ISYE 6414 Final Exam Review/111 Questions and answers 2024