5.simple regression (measuring)-residual Flashcards
1
Q
simple regression
A
how well predict data
assume if put one varibale (x) into model get other varibale (y)
2
Q
How do you do simple regression
A
work out distance (between line)
3
Q
how do you work out distance between line
A
determine error
4
Q
y1=
A
every x val predicts y value which predicts y value= this is our y predictor
5
Q
residual sum of square
A
distance between predicted value and actual value determined by
observed y-predicted( line best fit?) y
6
Q
residual
A
done by measuring error of prediction and actual value
7
Q
residual sum formula
A
E(y-y1)2
8
Q
if large resiudal error
A
no representative data as lots of errors
(small= representative)
