Week 9 - Correlation and Regression Flashcards

1
Q

Correlation

A

The strength, direction, shape, and significance of two continuous variables

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2
Q

How is correlation measured?

A

Pearson’s r

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3
Q

Pearson Correlation Co-efficient

A

ranges between -1 and +1, designed to test linear relationship

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4
Q

Regression

A

helps to understand the relationship between variables and making predictions based on the relationship

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5
Q

What is the slope?

A

An indication of the gradient of the line or it’s ‘steepness’

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6
Q

what is the Y-axis intercept?

A

the point at which the line of best fit crosses the Y-axis - can be positive or negative

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7
Q

Residuals

A

A residual score is the difference between the actual score and the predicted score

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8
Q

Measure of accuracy

A

Standard Error of the Estimate (SEE) - average or mean of the residual scores

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9
Q

Power

A

The ability to obtain a significant result when an effect is real

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10
Q

Yhat = a + (b) (X)

A

Regression equation

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11
Q

Assumptions

A
  • normality
  • linearity
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12
Q

Potential problems

A
  • outliers/extreme scores
  • restriction in range
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