Lecture 5 Flashcards

1
Q

The parameter ρ, the correlation coefficient satisfies

A

E[(x-μx)(y-μy)] = ρσxσy

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2
Q

If the correlation coefficient = 0 then

A

x and y are independent

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3
Q

The covariance of x and y is defined by

A

E[(x-μx)(y-μy)]

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4
Q

If ρ > 0 then

A

positive correlation y tends to increase as x increases

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5
Q

If ρ < 0 then

A

negative correlation y tends to decrease as x increases

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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

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7
Q

Ordinary least squares fitting

A

yi = a + bxi + ε

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8
Q

correlation coefficient is independent of

A

scaling

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