True or False: Treating observations as grouped or ungrouped in a logistic regression model results in...
True or False: Treating observations as grouped or ungrouped in a logistic regression model results in exactly the same coefficient estimates, deviances and standard errors.
Homework Answers
False
Becouse the parameters are the same for
grouped or ungrouped data, but the deviances are different.
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True or False: Treating observations as grouped or ungrouped in
a logistic regression model results in...
In a logistic regression model, a coefficient is statistically significant at a 5% significance level if...
In a logistic regression model, a coefficient is statistically significant at a 5% significance level if the absolute value of the "z value" of the estimated coefficient is at least 2.0 True or False
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 (unde...
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: 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
True of False: The Prediction Y_i hat from logistic regression is either Y_i hat = 0...
True of False: The Prediction Y_i hat from logistic regression is either Y_i hat = 0 or Y_i hat = 1.
1) True or False? A researcher applies a simple regression to get the results shown below...
1) True or False? A researcher applies a simple regression to get the results shown below using n=8 observations. Then, to construct the 95 percent confidence interval for the slope, we must use a t statistic of 2.447, by Appendix D. Variable Coefficients Standard Error Intercept -0.1667 2.8912 X Variable (slope) 1.8333 0.2307 2) Based off the table presented above, A researcher applies a simple regression to get the results shown below using n=8 observations. Which of the followings is the...
Suppose that n = 193 i.i.d. observations for (Y, Xiyield the following regression results: ŷ =...
Suppose that n = 193 i.i.d. observations for (Y, Xiyield the following regression results: ŷ = 33.48 +66.71X, SER = 15.96, R² = 0.72 (15.5) (12.7) Another researcher is interested in the same regression, but he makes an error when he enters the data into the regression: He enters each observation twice, so he has 386 observations (with observation 1 entered twice, observation 2 entered twice, and so forth). Which of the following estimated parameters change as result? (Check all...
2 pts Question 4 In the classical regression model we maximize the sum of the squared...
2 pts Question 4 In the classical regression model we maximize the sum of the squared errors. O True False 2 pts D Question 5 The terms coefficients of determination and R-square are synonyms, measuring how well a regression model fits the data. O True False 2 pts Question 6 Student's t-statistic is calculated as the ratio of an estimated coefficient divided by its standard error. 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 Questions Please Answer: In a regression involving age and serum cholesterol level, the...
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...
Excluding an important explanatory variable from a regression will lead to biased coefficient estimates, incorrect coefficient...
Excluding an important explanatory variable from a regression will lead to biased coefficient estimates, incorrect coefficient standard errors, and invalid hypothesis tests. True False
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...
Suppose that n = 193 i.i.d. observations for (Y, Xiyield the following regression results: ŷ = 33.48 +66.71X, SER = 15.96, R² = 0.72 (15.5) (12.7) Another researcher is interested in the same regression, but he makes an error when he enters the data into the regression: He enters each observation twice, so he has 386 observations (with observation 1 entered twice, observation 2 entered twice, and so forth). Which of the following estimated parameters change as result? (Check all...
2 pts Question 4 In the classical regression model we maximize the sum of the squared errors. O True False 2 pts D Question 5 The terms coefficients of determination and R-square are synonyms, measuring how well a regression model fits the data. O True False 2 pts Question 6 Student's t-statistic is calculated as the ratio of an estimated coefficient divided by its standard error. True False
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