Logistic regression can be used to predict which customers will respond to a new offer. Is...
Logistic regression can be used to predict which customers will respond to a new offer. Is this TRUE or FALSE?
Homework Answers
TRUE. Since in logistic regression the response variable is of categorical type. Here also we have question like, whether the customer will respond to new offer or not. so, logistic regression can be used to predict this.
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Logistic regression can be used to predict which customers will
respond to a new offer. Is...
Logistic regression is similar to linear regression, except that it is used with a categorical response....
Logistic regression is similar to linear regression, except that it is used with a categorical response. True False
I want to reformulate the solution, using other words Logistic regression It is used in various...
I want to reformulate the solution, using other words Logistic regression It is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (TRISS), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. Many other medical scales used to assess severity of a patient have been developed using logistic regression. It is also used in marketing applications such...
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.
Logistic regression is like simple linear or multiple regression in that there is only one DV....
Logistic regression is like simple linear or multiple regression in that there is only one DV. a. True b. False
1. Logistic regression-based loan decisions that approve all loans with greater than 0.5 probability of performing...
1. Logistic regression-based loan decisions that approve all loans with greater than 0.5 probability of performing will ensure profitability. True False 2. A one-way data table can have any number of outputs. True False 3. You can delete a single cell entry from a data table. True False 4. The anti-logs of logistic regression coefficients, i.e. Exp(B), can be interpreted as odds multipliers. True False
Answer true or false and give justification. 1. Logistic regression cannot be performed after linear PCA....
Answer true or false and give justification. 1. Logistic regression cannot be performed after linear PCA. 2. Support vector machine is non-linear classification algorithm. 3. Any regression algorithm can be modified to be used for classification as well.
True or False: Logistic Regression models mean of Y-data as a function of regression variables/parameters
True or False: Logistic Regression models mean of Y-data as a function of regression variables/parameters
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
11. Multiple regression analysis is used when one independent variable is used to predict values of...
11. Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables. True or False 13. For a two-tailed null hypothesis, the test statistic Z=1.96. Therefore, the p-value is 0.05. True False
A logistic regression model was estimated in order to predict the probability that a randomly chosen...
A logistic regression model was estimated in order to predict
the probability that a randomly chosen university or college would
be a private university using information on mean total Scholastic
Aptitude Test score (SAT) at the university or college and whether
the TOEFL criterion is at least 90 (Toefl90 = 1 if yes, 0
otherwise.) The dependent variable, Y, is school type (Type = 1 if
private and 0 otherwise).
37) Referring to Scenario
14-18, which of the following is...
A logistic regression model was estimated in order to predict
the probability that a randomly chosen university or college would
be a private university using information on mean total Scholastic
Aptitude Test score (SAT) at the university or college and whether
the TOEFL criterion is at least 90 (Toefl90 = 1 if yes, 0
otherwise.) The dependent variable, Y, is school type (Type = 1 if
private and 0 otherwise).
37) Referring to Scenario
14-18, which of the following is...
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