Lecture 5 Flashcards
1
Q
The parameter ρ, the correlation coefficient satisfies
A
E[(x-μx)(y-μy)] = ρσxσy
2
Q
If the correlation coefficient = 0 then
A
x and y are independent
3
Q
The covariance of x and y is defined by
A
E[(x-μx)(y-μy)]
4
Q
If ρ > 0 then
A
positive correlation y tends to increase as x increases
5
Q
If ρ < 0 then
A
negative correlation y tends to decrease as x increases
6
Q
Pearson’s product moment correlation coefficient
A
r = 1/n-1 (xi-x̄/sx)(xi-ȳ/sy)
where x̄ is the sample mean
and sx the sample standard deviation
7
Q
Ordinary least squares fitting
A
yi = a + bxi + ε
8
Q
correlation coefficient is independent of
A
scaling