Week 8

Question 1

All ANOVAs and t test require what kind of variables?

Answer 1

categorical IV’s

continuous DVs

Question 2

R squared tells us what?

Answer 2

The percentage of actual variation explained by the IV.

Question 3

CORRELATION DOES NOT IMPLY

Answer 3

causation.

Question 4

What is extrapolation?

Answer 4

Can only make predictions within the range that your data has in linear regression model (doesn’t continue past)

Question 5

If we need a quadratic linear value, how do we get this

Answer 5

compute a squared version of the x row to get x^2.

Question 6

What does the triangle r squared mean next to model builder comparing two models?

Answer 6

It is the percentage of extra variance explained by the second model

Question 7

In model comparisons, if the p value is not significant, what does this mean?

Answer 7

that them model does not significantly improve the fit

Question 8

Trend analysis only works if the IV is what?

Answer 8

quantitative. If it is not, this is not an applicable technique .

Question 9

What happens if you click polynomial in your ANOVA (trend analysis)?

Answer 9

It shows up to the most complicated model. If statistically significant, that’s the model with the best fit. This is called a trend analysis.