Reading 2

Question	Answer
True/false the predicted score is almost always different from the actually scores	True
True/false the dependent variable is always continuous	True
Categorical vs. continuous	categorical: difference in classification continuous: differences in amount
How is the residual or error calculated (in predicted scores)?	- subtracting the predicted score from the observed score
Give an example of both direct and indirect of a regression line	Direct: calories vs. fat Indirect: Olympic 100m times vs. successive olympic games
What is a useful index for the goodness of fit of the regression line? What does a value of one indicate? what about zero?	ratio of the sum of squares of the predicted scores divided by the sum of squares of the observed scores Has a max value of one (perfect fit), zero means their is no relationship
The sum of squares of the predicted scores is called...	Regression sum of squares
Why is the goodness of fit ratio given the symbol r^2	because it is equal to squared simple correlation

Resource summary

	Created by Amrit Bhogal about 9 years ago