Week 5 Class

Question 1

Correlation

Answer 1

Measurement of the relationship or association between two variables

Question 2

Correlation is expressed as ?

Answer 2

r

Question 3

0 to -1.0

Answer 3

Negative inverse relationship.
As one variable goes up the other goes down

Question 4

0

Answer 4

no correlation.
two variables are not related

Question 5

0-1.0

Answer 5

positive relationship.
when one variable goes up so does the other and visa versa

Question 6

Simple Linear Regression

Answer 6

Assumes a linear relationship between the two variables where one continuous variable (x) predicts another continuous variable (y)

Question 7

Multiple Regression

Answer 7

multiple variables (categorical or continuous) used to predict an outcome variable (usually continuous)

each variable contributes a weighted amount to the regression prediction equation

Question 8

y is

Answer 8

the outcome of interest

Question 9

b is

Answer 9

the single interest intercept of the regression line at y

Question 10

m is

Answer 10

the predictor variable with varying weights

Question 11

logistic regression

Answer 11

multiple variables (categorical or continuous) are used to predict a dichotomous (categorical) outcome

Question 12

cross-sectional

Answer 12

present

Question 13

case control

Answer 13

effect to cause

Question 14

concurrent cohort

Answer 14

cause to effect

Question 15

nonconcurrent cohort

Answer 15

cause to effect

Question 16

cohort studies usually begins with

Answer 16

exposure (usually prospective)

Question 17

cohort studies compare -

Answer 17

outcomes to those with and without exposure

Question 18

cohort studies prefer what kind of sample

Answer 18

large sample size

Question 19

cohort studies are not suitable when -

Answer 19

condition is rare

Question 20

what does a cohort study find?

Answer 20

incidence rates, attributable risk, relative risk