Isye6414 midterm 2 - Study guides, Class notes & Summaries

The _______________ for multiple linear regression do not have constant variance. - sample residuals How much all the values in the model change when the ith value is removed is known as what? - Cook's distance The ______________ for multiple linear regression have constant variance. - error terms QQPlot and histogram are used to assess what in MLR? - normality Residuals vs predictor are used to predict what in MLR - linearity Residuals vs fitted values are used to assess what in MLR - c...

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:

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

The _______________ for multiple linear regression do not have constant variance. - Answer-sample residuals The ______________ for multiple linear regression have constant variance. - Answer-error terms QQPlot and histogram are used to assess what in MLR? - Answer-normality Residuals vs predictor are used to predict what in MLR - Answer-linearity Residuals vs fitted values are used to assess what in MLR - Answer-constant variance and independence Points that are far from the mean of the x...

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

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 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 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:

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

ISYE6414 Midterm 2 Exam Questions And Answers Already Graded A+