Data Analysis and Regression Quiz Overview
This quiz covers topics related to traditional OLS regression problems, generalized regression characteristics, JMP options, penalty methods in Elastic Net, AIC vs. BIC, GINI impurity in decision trees, and more. Test your knowledge and understanding of key concepts in data analysis and regression techniques.
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UNGRADED QUIZ Unit 5
Show me your fingers Do not shout out the answer, or your classmates will follow what you said. Use your fingers One finger (the right finger) = A Two fingers = B Three fingers = C Four fingers = D No finger = I don t know. I didn t study
Which of the following is NOT a problem of traditional OLS regression? A. Too many assumptions about the residuals and the predictors B. It tends to overfit to the sample. C. The model is unstable when some predictors are strongly correlated (collinearity) D. There is only one unique solution when the sample size is large. E. It must be a linear model.
Which of the following statement is NOT a characteristic of generalized regression? A. Similar to abduction or IBE: don't fix on one single answer, consider a few. B. It imposes penalty on the model to reduce complexity C. Start with a full model model and then scale back the model. D. It is also known as regularized regression.
Which of the following is NOT an option in JMP s generalized regression? A. Elastic Net B. Lasso C. Double Lasso D. Ridge E. Dante Selector
Elastic net combines the penalty methods of . A. Double lasso and Ridge B. Lasso and Ridge C. Double Lasso and Dantzig selector D. Ridge and Dantzig selector
AIC or AICc is better than BIC because A. AIC and AICc is based on the principle of information loss. B. The Bayesian approach requires a prior input but usually it is debatable. C. AIC is asymptotically optimal in model selection in terms of the root mean square error, but BIC is not asymptotically optimal. D.All of the above.
In one of the leafs (partitioned group) of a tree, there are 9 males and 1 females. According to GINI, this group is A. Highly impure B. Highly pure C. Neither pure nor impure; insufficient information
Which of the following statements about the leaf report is UNTRUE? A. It is based upon the nested-if logic. B. It shows interactions of variables C. The probability of each scenario is the same as the p value in hypothesis testing.
What of the following about the ROC curve is UNTRUE? A. It is originated from Signal Detection Theory during WWII. B. The area under the curve indicates the predictive accuracy. C. When the AUC value is .6 or above, it is considered acceptable.
Which of the following statement is TRUE? A. If the outcome variable is categorical, LogWorth (the likelihood ratio of chi-square) is reported. B. LogWorth is the inverse of the p value. C. Like the p value, a lower LogWorth is better. D. LogWorth is a partitioned criterion based on impurity.
In JMP if you uncheck informative missing before generating a partition tree, what would happen? A. The missing data will be deleted in a listwise way. B. The missing data will be deleted in a casewise way. C. The missing data will be imputed.
Which of the following is NOT an option in SPSS s classification trees? A. C4.5 B. CHAID C. QUEST D. CRT
Which of the following is NOT a drawback of SPSS s classification trees? A. The graphs of JMP are dynamic and interactive whereas the counterparts of SPSS are static. B. The interactive model outline in SPSS shows much less details than the tree in JMP. C. The hierarchy of the SPSS tree might not correspond to the rank of predictor importance. D. Neither viewer nor model outline allows tree-pruning.
