Lecture 3 Flashcards
1
Q
Linear regression
A
Estimates linear relationship between 2 variables X and Y.
-X independent
- Y dependent
2
Q
Variable
A
Varies ( random values differ from person to person)
3
Q
Parameters
A
fixed same value for all people
4
Q
Predicted value - errors
A
predicted value can’t have errors baceause it’s based on prediction not observation.
5
Q
Conditional mean
A
mean score of a varibale depending on another variable.
6
Q
What are the assumptions of linear regression?
A
1-On ecah value of X, Y is normally distributed.
2-SD error is equal for all values of X
7
Q
Significance (alpha) level
A
determines whether to reject null hypothesis or not. (0.05)
8
Q
Null hypothesis
A
assumes no relationship X and Y
9
Q
A