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
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...
The following statement is true or false. Brief with explanation. a) Simultaneous equation regression models are models that take into account unidirectional relationships among variables. b) It is often suggested that we use instrumental or proxy variables for variables suspected of having measurement errors.
True of False: The Prediction Y_i hat from logistic regression is either Y_i hat = 0 or Y_i hat = 1.
Need help with stats true or false questions
Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...
True or False Questions Please Answer: In a regression involving age and serum cholesterol level, the “least squares” or “best fit” line calculated from the sample data estimates the age-adjusted mean serum cholesterol level in the population. ___ In a logistic regression model with 2 predictor variables (risk factors A and B) and no interaction term, the estimated relative risk (RR) for subjects exposed to both risk factor A (adjusted RR estimate = 2.0) and risk factor B (adjusted RR...
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
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
Logistic regression is like simple linear or multiple regression in that there is only one DV. a. True b. False
True or false?: 1) If X and Y are standardized, then fit a linear regression line of standardized Y on standardized X, correlation between X and Y equals the slope of regression line. 2) If one calculates r for a set of numbers and then adds a constant to each value of one of the variables, the correlation will change. 3) The easiest way to determine if a relationship is linear is to calculate the regression line. 4) If the...