True of False: The Prediction Y_i hat from logistic regression is either Y_i hat = 0 or Y_i hat = 1.
In logistics regression the data always gives binary result. That is true or false ( or 0 and 1).
That is the prediction Yi^ gives us binary output.
Hence the above statement is TRUE.
Hope this will help you. Thank you :)
True of False: The Prediction Y_i hat from logistic regression is either Y_i hat = 0...
True or False: Logistic Regression models mean of Y-data as a function of regression variables/parameters
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.
Logistic regression is similar to linear regression, except that it is used with a categorical response. True False
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 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
machine learning/ stats questions
1. Choose all the valid answers to the description about linear regression and logistic regression from the options below: A. Linear regression is an unsupervised learning problem; logistic regression is a super- vised learning problem. B. Linear regression deals with the prediction of co ontinuous values; logistic regression deals with the prediction of class labe C. We cannot use gradient descent to solve linear regression: we must resort to least square estimation to compute a closed-form...
Decide (with short explanations) whether the following
statements are true or false.
r) The error term in logistic regression has a binomial distribution s) The standard linear regression model (under the assumption of normality) is not appropriate for modeling binomial response data t Backward and forward stepwise regression will generally provide different sets of selected variables when p, the number of predicting variables, is large. u) BIC penalizes for complexity of the model more than AIC
r) The error term...
True or False Questions - Mark whether the following statements are either True or False statements Heteroscedasticity is the problem in regression when there is a relationship between the independent variables that are being used to predict y. - Mark whether the following statements are either True or False statements The assumption that is considered the most "robust" (or flexible) assumption in a regression analysis is the equal variance assumption.
Logistic regression can be used to predict which customers will respond to a new offer. Is this TRUE or FALSE?
8. In linear regression, the confidence interval can be wider than the prediction interval. a. True b. False 9. In a regression and correlation analysis if R-1, then a. SSg - SSI b. SSg - 1 c. SSR ESSE d. SSR SS 10. A multiple regression model has: a. only one independent variable b. more than one dependent variable c. more than one independent variable d. none of the above