Regression Flashcards

1
Q

What are the goals of correlation coefficients? 4

A
  1. Estimate Rho 
2. Use in other analyses (factor analysis, multiple regression) 
3. Calculate coefficient of determination 
4. Prediction
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2
Q

What is x and y in regression?

A

Predictor and criterion, respectively

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3
Q

What is the predicted value of y called?

A

Y hat (sometimes y’)

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4
Q

What are residuals in regression?

A

Person’s score minus person’s predicted score.

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5
Q

What does the regression line achieve?

A

Least squares criterion - Minimises squared errors of prediction (y-yhat) by placing line as close as possible to all points at once.

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6
Q

What is the standard error of the estimate?

A

The average amount of error in prediction (SD of the residuals). Ie; variability of real scores around the regression line.

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7
Q

What are df in the standard error of the estimate?

A

N-2

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8
Q

What are the variance components in regression? [formula]

A

SSy = SSregresssion + SSresidual 

sum(y-ybar )^2 = sum(yhat-ybar)^2 + sum(y-yhat)^2

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