Critical Stat Terms To know

Question 1

R can be thought of as

Answer 1

the relationship between (collective) IVs and the DV.

Question 2

Technically, R is the correlation between

Answer 2

predicted and actual scores on the DV

Question 3

R² is the

Answer 3

varience in the DV explained by the IVs combined.

Question 4

R² is also the shared varience between

Answer 4

predicted and actual DV scores

Question 5

Adj. R² is an estimate of

Answer 5

R² in the population (by adjusting for sample size, no. of predictors)

Question 6

According to Cohen, R² of .1 is a

Answer 6

small effect

Question 7

According to Cohen, R² of .09 is a

Answer 7

moderate effect

Question 8

According to Cohen, R² of .25 is a

Answer 8

large effect

Question 9

According to Ferguson, R² of .04 is a

Answer 9

small effect

Question 10

According to Ferguson, R² = .25 is a

Answer 10

medium effect

Question 11

According to Ferguson, an R² of .64 is a

Answer 11

Large effect