Correlation Flashcards

1
Q

What is correlation?

A

Looking at how 2 variables are related to each other.

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2
Q

What is the difference between correlation and regression?

A
  • We aren’t making predictors from one to another

- The relationship is symmetrical, unlike regressions.

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3
Q

What statistic do we use to calculate the correlation coefficient?

A

Pearson’s ‘r’

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4
Q

What does a correlation coefficient show us?

A
  • The strength of the relationship

- The direction of the relationship

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5
Q

What does the p value tell us?

A

Whether we can accept or reject our null hypothesis.

If p<0.05, we can reject the null hypothesis.

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6
Q

What does a correlation matrix show?

A

Shows the interrelations between multiple variables - series of correlations.

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7
Q

What is the biggest Correlation Rule to remember?

A

Correlation is not sufficient evidence for causality between variables.
Correlation coefficients give no indication of the direction of causality.

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8
Q

What could cause a correlation if the 2 variables do not cause each other?

A

The relation may be due to each varible’s relation to a third.

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9
Q

What are partial correlations?

A

Correlations that estimate the relationship between two variables X and Y by controlling for Z.

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10
Q

When do we use partial correlations?

A

When we think there could be a third variable.

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11
Q

What assumptions do you check for when doing a correlation?

A
  • Linearity

- Normality

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12
Q

What are the non-parametric methods of correlation?

A
  • Spearman’s Rho

- Kendall’s Tau

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13
Q

How do we come by correlation?

A

Using a statistic called covariance

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14
Q

What is covariance?

A

Measure of how two variables vary together.

It tells us how much each PPs scores differ from the means.

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15
Q

What are residuals?

A

The difference between the scores and the means.

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16
Q

How do we interpret covariance?

A
  • Bigger is better (the larger the covariance, the stronger the relationship)
  • Can be positive
  • Can be negative