Isye6414 regression exam - Study guides, Class notes & Summaries

ISYE6414 REGRESSION SUMMER MIDTERM 1 AND 2 EXAM / ISYE6414 MIDTERM 1 AND 2 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A If the confidence interval for a regression coefficient contains the value zero, we interpret that the regression coefficient is definitely equal to zero. ---ANSWER-- False The larger the coefficient of determination or R-squared, the higher the variability explained by the simple linear regression model. ---ANSWER-- True The estimators of the error term va...

ISYE6414 REGRESSION SUMMER MIDTERM 1 AND 2 EXAM / ISYE6414 MIDTERM 1 AND 2 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A

ISYE6414 REGRESSION SUMMER MIDTERM 1 AND 2 EXAM / ISYE6414 MIDTERM 1 AND 2 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A If the confidence interval for a regression coefficient contains the value zero, we interpret that the regression coefficient is definitely equal to zero. ---ANSWER-- False The larger the coefficient of determination or R-squared, the higher the variability explained by the simple linear regression model. ---ANSWER-- True The estimators of the error t...

ISYE6414 FINAL EXAM / ISYE6414 FINAL EXAM ACTUAL EXAM QUESTION AND ANSWERS W RATIONALES/LATEST REVISED FALL 2023/2024/A+GRADE 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 U...

ISYE6414 REGRESSION MIDTERM 1 EXAM / ISYE6414 MIDTERM 1 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A

ISYE6414 FINAL EXAM / ISYE6414 FINAL EXAM ACTUAL EXAM QUESTION AND ANSWERS W RATIONALES/LATEST REVISED FALL 2023/2024/A+GRADE 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 U...

ISYE6414 REGRESSION MIDTERM 1 EXAM / ISYE6414 MIDTERM 1 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A

ISYE6414 REGRESSION MIDTERM 1 EXAM / ISYE6414 MIDTERM1 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A

ISYE6414 REGRESSION MIDTERM 1 EXAM / ISYE6414 MIDTERM 1 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A What are the variables in regression? -CORRECT ANSWER- 1. 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 p...

ISYE6414 REGRESSION MIDTERM 2 EXAM / ISYE6414 MIDTERM 2 REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS/ GRADED A 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: