After you have discovered that two variables are correlated, you might be able to make a good estimate of the value of one variable if you were given the value of the other. This approach involves a
a. description study.
b. prediction study.
c. criterion study.
d. factorial study.
Question 2
If you were studying ten variables to see whether they were correlated and if you computed all possible correlation coefficients,
a. five percent of your correlations would be significant but actually meaningless.
b. you would want to pay attention to higher order correlations more than to zero order correlations.
c. by choosing the proper variables, you could begin to identify causal relationships.
d. your best approach to examining the correlations would be to identify a third variable problem.
Herbivore biomass is positively correlated with net aboveground primary production.
The Mauer mandible, discovered in Germany in 1907.
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How to manually solve a linear system with three variables without matrices (Question 1 of 2)