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Question 1 of 10
1. Question
In an Added-variable plot, it is useful for the detection of a continuous explanatory variable present in the model. What does the random scatter point indicate for the given variable?
Correct
A random scatter indicates that the given variable should not be in the model.
Incorrect
A random scatter indicates that the given variable should not be in the model.
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Question 2 of 10
2. Question
Added-variable plots are a great tool to detect whether a continuous explanatory variable should be present in the model. What does the linear plot indicate for the given variable?
Correct
A linear plot means that the given variable should be included in the model, that is that the relationship between the two variables is linear, given the other explanatory variables.
Incorrect
A linear plot means that the given variable should be included in the model, that is that the relationship between the two variables is linear, given the other explanatory variables.
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Question 3 of 10
3. Question
What is the easy way to detect a non-linear relationship between the two given variables?
Correct
A nonlinear relationship between the two given variables is more easily detected with a partial residual plot.
Incorrect
A nonlinear relationship between the two given variables is more easily detected with a partial residual plot.
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Question 4 of 10
4. Question
Which one out of these cases would supposedly have high leverage?
Correct
A case that is an unusual combination of the explanatory variables will have high leverage.
Incorrect
A case that is an unusual combination of the explanatory variables will have high leverage.
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Question 5 of 10
5. Question
The hii are called “leverages”, or “hat matrix diagonals.”, What according to your understanding are leverages used for?
Correct
Leverages provide a useful mechanism for diagnosing subtle data errors that are left undetectable by using simple checks on single explanatory variables.
Incorrect
Leverages provide a useful mechanism for diagnosing subtle data errors that are left undetectable by using simple checks on single explanatory variables.
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Question 6 of 10
6. Question
What is the confidence interval around the estimate used for?
Correct
The use of the confidence interval around the estimate is to indicate precision. It requires the sampling distribution of ˆμ.
Incorrect
The use of the confidence interval around the estimate is to indicate precision. It requires the sampling distribution of ˆμ.
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Question 7 of 10
7. Question
It is said that one way of assessing the fit of a given model is to compare it to the model with the best possible fit, how is the best fit obtained?
Correct
The best fit will be obtained when the number of the parameters is similar to the number of observations, which in other words is called a saturated model. A model that is proposedly saturated will ensure that there is full flexibility in fitting θi.
Incorrect
The best fit will be obtained when the number of the parameters is similar to the number of observations, which in other words is called a saturated model. A model that is proposedly saturated will ensure that there is full flexibility in fitting θi.
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Question 8 of 10
8. Question
Which are the predictive usefulness of a model from the following?
Correct
The predictive usefulness of a model is categorized using the following two measures; one is known to be sensitivity which is the relative frequency of predicting an event when an event does take place. The second one is specificity which is the relative frequency of predicting a non-event when there is no event.
Incorrect
The predictive usefulness of a model is categorized using the following two measures; one is known to be sensitivity which is the relative frequency of predicting an event when an event does take place. The second one is specificity which is the relative frequency of predicting a non-event when there is no event.
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Question 9 of 10
9. Question
It is said that the way of examining the performance of a model for binary data is via a classification table.
How do you think the binary data is classified?Correct
The probabilities that are denoted as ˆπi are computed and each case ‘i’ is classified as an “event” or “non-event” depending on whether ˆπi is greater than or less than a given threshold.
Incorrect
The probabilities that are denoted as ˆπi are computed and each case ‘i’ is classified as an “event” or “non-event” depending on whether ˆπi is greater than or less than a given threshold.
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Question 10 of 10
10. Question
If the threshold is set at 0 in a given classification table, what should be the expected sensitivity and specificity of that model?
Correct
In a classification table, both sensitivity and specificity are near 1. If the threshold is said to be set at 0 then the sensitivity is 1 and specificity is 0. As the threshold increases, the sensitivity declines, and the specificity increases.
Incorrect
In a classification table, both sensitivity and specificity are near 1. If the threshold is said to be set at 0 then the sensitivity is 1 and specificity is 0. As the threshold increases, the sensitivity declines, and the specificity increases.