15

Question 1

After getting an r value, do you need to test whether its statistically significant?

Answer 1

Yes

Question 2

Spearman’s rank r_s correlation?

Answer 2

An alternative to correlation that does not make so many assumptions.

Question 3

Pearson’s r correlation assumptions?

Answer 3

•Random sample
•X is normally distributed with equal variance for all values of Y
•Y is normally distributed with equal variance for all values of X

Question 4

What mainly differs between spearman’s rank correlation and Pearson’ s r correlation?

Answer 4

Spearman’s rank correlation ranks the reference variable.

Question 5

Attenuation?

Answer 5

The estimated correlation will be lower if X or Y are estimated with error.

Question 6

Correlation depends on? 2•

Answer 6

The •range and •sample.

Question 7

Species are/are not independent data points?

Answer 7

Are not

Question 8

A strong correlation may have a problem of non-independent data points because?

Answer 8

Shared evolutionary history

Question 9

Regression assumptions?

Answer 9

•random sample
•Y is normally distributed with equal variance for all values of X.

We are not assuming anything about the reverse.

Question 10

Parameters of linear regression?

Answer 10

Y = alpha + beta(X).

Population

Question 11

Estimating a regression line?

Answer 11

Y = a + b(X)

Sample