10 | Correlation and Mutual Information Flashcards
(POLL)
To determine the strength of an association between two numerical variables which are normally distributed we use a …
* t-test
* wilcox-test
* Pearson correlation test
* Kendall tau test
* Spearman correlation test
- Pearson correlation test
- Spearman correlation test
(POLL)
A R-square value of 0.05 for a Peason correlation is due to Cohen’s rule of thumb a …
* neglectable association
* weak association
* medium assocation
* strong association
- medium assocation
0.08 is the squared value so r is either 0.28 or -0.28
(POLL)
Mutual Information
* covers only linear associations
* covers linear and non-linear associations
* has a value range of -1 to 1
* has a value range of 0 to Inf
* does not provide a p-.value
* does provide a p-value
- covers linear and non-linear associations
- has a value range of 0 to Inf
- does not provide a p-.value
(POLL)
which of the following methods can be used to predict qualitative data
* simple linear regression
* multiple regression
* logistic regression
* regression trees
* classification trees
- logistic regression
- classification trees
(POLL)
The correlation between A and B is 0.9 p <0.001, what might be possible reasons?
* A is directly influencing B (all these are poissible)
* B is directly influencing A
* A is influencing B via a factor C
* B is influencing A via a factor C
* A and B are controlled by a factor C in the same way
* The correlation is just spurious, by accident
- A is directly influencing B (all these are poissible)
- B is directly influencing A
- A is influencing B via a factor C
- B is influencing A via a factor C
- A and B are controlled by a factor C in the same way
(f is unlikely by chance but remember that Pearson correlation has problems with outliers)
(POLL)
Which of the following association measures are sensitive to outliers?
* Kendall-Tau-Correlation
* Mutual Information
* Pearson-Correlation
* Spearman-Correlation
- Pearson-Correlation
