Correlation, association and regression lines

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14 Terms

1

What is bivariate data?

Data for two variables

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2

What does PMCC measure?

Linear correlation

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3

To test for linear correlation, what must the data be?

Bivariate normal

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4

What shape does bivariate normal data form?

An elliptical shape

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5

What does SRCC measure?

Association between ranks

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6

What is the value for PMCC?

r value

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7

What is the value for SRCC?

rs value

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8

Where are the critical regions for PMCC and SRCC?

On either end of the distribution (close to -1 and +1)

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9

How do you calculate residuals?

Actual value - predicted value

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10

What is the predicted value?

The value taken from the regression line

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11

What should the sum of the residuals always add up to?

Zero

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12

What do you need to do to the data before calculating the value for SRCC?

Rank the data

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13

What are H0 and H1 for a SRCC hypothesis test?

H0: no association between x and y

H1: positive/negative/some association between x and y

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14

What are H0 and H1 for a PMCC hypothesis test?

H0: p = 0

H1: p > 0 or p < 0 or p doesn’t equal 0

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