Which of those is not often used for validating logistic regression models? Select one: a. Receiver...
Which of those is not often used for validating logistic regression models?
Select one:
a. Receiver Operating Curve (ROC)
b. R2
c. Classification Tables
d. Validation Dataset
Homework Answers
Which of those is not often used for validating logistic regression models?
b. R2
linear regression uses R2 in logistic regression pseudo R2 is used
Add Answer to:
Which of those is not often used for validating logistic
regression models?
Select one:
a. Receiver...
Which of the following methods is true regarding one-vs-all method in multi-class logistic regression? Need to...
Which of the following methods is true regarding one-vs-all method in multi-class logistic regression? Need to fit (k-1) models for k-class classification problem Need to fit k models for k-class classification problem a single model is sufficient a none of these
Performance Metrics: Which of the following are terms used for performance metrics a. Specificity & Precision...
Performance Metrics: Which of the following are terms used for performance metrics a. Specificity & Precision b. Precision & Recall c. Recall & Sensitivity d. band e All of the above 9. Performance Metrics: When looking at the ROC/AUC curve, what are the values being compared represented on the x-axis and y-axis? a. False Positive Rate and True Positive Rate b. Precision and True Positive Rate c. False Positive Rate and Precision d. True Positive Rate and Specificity e. None...
9) Which of the following statements about building multiple regression models is true? (4) A) No...
9) Which of the following statements about building multiple regression models is true? (4) A) None of these. B) When comparing among competing multiple regression models, it is best to choose a small value of R2 regression model. have the highest values for se C) It is always preferable to include more rather than fewer predictor variables in a multiple D) When comparing among competing multiple regression models, the best models will
9) Which of the following statements about building...
8. Which of the following models is used quite often to capture decreasing or increasing marginal...
8. Which of the following models is used quite often to capture decreasing or increasing marginal effects of a variable? a. Models with logarithmic functions b. Models with quadratic functions c. Models with variables in level d. Models with interaction terms
In the context of regression analysis, which of the following statements is true? Select one: a....
In the context of regression analysis, which of the following statements is true? Select one: a. When a dataset includes an influential point, the data must come from a nonlinear population model. b. All outlying data points have high influence. c. All data points with high leverage have high influence. d. None of the above
4 & 5 QUESTION 4 What is a major difference between linear regression and logistic regression?...
4 & 5
QUESTION 4 What is a major difference between linear regression and logistic regression? a. The nature of the independent variable(s) b. The nature of the dependent variable c. The number of independent variables d. The number of dependent variables QUESTION 5 Which one of the following statistical tests would the researcher hope to have a non-significant result (p > .05) in a logistic regression analysis? a. The likelihood ratio test b. The logit step test C. The...
Problem 1 (Logistic Regression and KNN). In this problem, we predict Direction using the data Weekly.csv....
Problem 1 (Logistic Regression and KNN). In this problem, we predict Direction using the data Weekly.csv. a. i. Split the data into one training set and one testing set. The training set contains observations from 1990 to 2008 (Hint: we can use a Boolean vector train=(Year < 2009)). The testing set contains observations in 2009 and 2010 (Hint: since train is a Boolean vector here, should use ! symbol to reverse the elements of a Boolean vector to obtain the...
3. Determine which of the following are models of Incidence Geometry. For those th are models,...
3. Determine which of the following are models of Incidence Geometry. For those th are models, indicate which parallel property holds for the model. For those that a not a model, list at least one axiom that fails and illustrate why. a. Points are points in the Euclidean plane and lines are circles with positive radius. b. Points are in {(x, y) = R2 22 + y2 <9} and lines are open chords of the circle. c. Points are points...
9.) What characteristic of the outcome variable (Y) suggests that a logistic regression is a suitable...
9.) What characteristic of the outcome variable (Y) suggests that a logistic regression is a suitable methodology? a.) When the outcome is a continuous variable b.) When the outcome variable has a large variance c.) When the outcome is always positive d.) When the outcome is a dichotomous variable 10.) If, in a multiple regression of the price of a diamond against the two predictor variables, weight and color, the R2 of the regression was 0.985, then which of the...
Logistic regression is used when you want to? a. Predict a continuous variable from dichotomous ones....
Logistic regression is used when you want to? a. Predict a continuous variable from dichotomous ones. b. Predict a dichotomous variable from continuous or dichotomous variables. c. Predict any categorical variable from other categorical variables. d. Predict a continuous variable from dichotomous or continuous variables.
Which of the following methods is true regarding one-vs-all method in multi-class logistic regression? Need to fit (k-1) models for k-class classification problem Need to fit k models for k-class classification problem a single model is sufficient a none of these
Performance Metrics: Which of the following are terms used for performance metrics a. Specificity & Precision b. Precision & Recall c. Recall & Sensitivity d. band e All of the above 9. Performance Metrics: When looking at the ROC/AUC curve, what are the values being compared represented on the x-axis and y-axis? a. False Positive Rate and True Positive Rate b. Precision and True Positive Rate c. False Positive Rate and Precision d. True Positive Rate and Specificity e. None...
9) Which of the following statements about building multiple regression models is true? (4) A) None of these. B) When comparing among competing multiple regression models, it is best to choose a small value of R2 regression model. have the highest values for se C) It is always preferable to include more rather than fewer predictor variables in a multiple D) When comparing among competing multiple regression models, the best models will
9) Which of the following statements about building...
8. Which of the following models is used quite often to capture decreasing or increasing marginal effects of a variable? a. Models with logarithmic functions b. Models with quadratic functions c. Models with variables in level d. Models with interaction terms
4 & 5
QUESTION 4 What is a major difference between linear regression and logistic regression? a. The nature of the independent variable(s) b. The nature of the dependent variable c. The number of independent variables d. The number of dependent variables QUESTION 5 Which one of the following statistical tests would the researcher hope to have a non-significant result (p > .05) in a logistic regression analysis? a. The likelihood ratio test b. The logit step test C. The...
3. Determine which of the following are models of Incidence Geometry. For those th are models, indicate which parallel property holds for the model. For those that a not a model, list at least one axiom that fails and illustrate why. a. Points are points in the Euclidean plane and lines are circles with positive radius. b. Points are in {(x, y) = R2 22 + y2 <9} and lines are open chords of the circle. c. Points are points...
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