ISYE 6414 Study guides, Class notes & Summaries

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:

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...

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. (T/F) - correct answer True. See 1.7 Regression Line: Estimation & Prediction Examples "Just to wrap up the comparison, the confidence intervals under estimation are narrower than the prediction intervals because the prediction intervals have additional va...

What is cooks distance used for? - correct answer It measures how much all of the values in the regression model change with the ith observation is removed. Basically its a test for outliers Rule of thumb: D denotes cooks distance, if D is > 4/n OR D > 1 or any large D then it may be an outlier and should be removed. If the normality assumption does not hold, we can pursue a transformation in the response variable. T/F - correct answer ...

response (dependent) variables - correct answer one particular variable that we are interested in understanding or modeling (y) predicting or explanatory (independent) variables - correct answer 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? - correct answer random, because i...

response (dependent) variables - correct answer one particular variable that we are interested in understanding or modeling (y) predicting or explanatory (independent) variables - correct answer 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? - correct answer random, because i...

We can assess the constant variance assumption in linear regression by plotting the residuals vs. fitted values. - correct answer True If one confidence interval in the pairwise comparison in ANOVA includes zero, we conclude that the two corresponding means are plausibly equal. - correct answer True The assumption of normality is not required in linear regression to make inference on the regression coefficients. - corr...

ISYE 6414 FINAL EXAM (REAL EXAM) QUESTIONS AND ANSWERS / GRADED A | EXAM 1

ISYE 6414 FINAL EXAM 2024 / ISYE6414 FINAL EXAM ACTUAL EXAM QUESTION AND VERIFIED ANSWERS ALREADY GARDED A+

ISYE 6414 FINAL EXAM REVIEW NOVEMBER QUESTIONS WITH COMPLETE SOLUTION

Assuming that the residuals are normally distributed, the estimated variance of the error terms has the following sampling distribution under SLR: - Chi-square with n-2 degrees of freedom fitted values def - the regression line with parameters replaced with the estimated regression coefficients the estimators of the linear regression model are derived by - minimizing the sum of squared differences between observed and expected values of the response variable the estimators for the regressi...

Assuming that the data are normally distributed, under the simple linear model, the estimated variance has the following sampling distribution: - Chi-squared with n-2 degrees of freedom. The fitted values are defined as? - The regression line with parameters replaced with the estimated regression coefficients. The estimators fo the linear regression model are derived by? - Minimizing the sum of squared differences between the observed and expected values of the response variable. The estim...