L4 - Regression Analysis 1

Question 1

linear regression

Answer 1

direct association DV that must be continuous and one or more IV that can be any level of measurement, nominal, ordinal, interval, or ratio.

Question 2

Can a regression analysis predict the DV?

Answer 2

Yes

Question 3

Is covariance a part of correlation?

Answer 3

Yes.

Question 4

What happens when you center the predictor ?

Answer 4

When X is centered, the intercept a equals the average value of Y.

Question 5

What is ß?

Answer 5

standardized regression coefficient

sx is standard deviation of x

Question 6

If there is only one predictor. What does ß equal to?

Answer 6

pearson correlation coefficient r

Question 7

Is this an assumption of LR? The relationship between dependent variable and independent
variable is linear

Answer 7

yes

Question 8

Is this an assumption of LR? At each level of the predictor variable(s), the variance of the
residuals is the same (homoscedasticity)

Answer 8

yes

Question 9

Is this an assumption of LR?
- The residuals are normally distributed

Answer 9

yes

Question 10

How should QQ look like?

Answer 10

Question 11

How does a heavy tailed QQ plot look like?

Answer 11

Question 12

How does a right skew QQ look like?

Answer 12