1. There is a correlation between scores of an assessment and prep hours
I'm assuming there's no other figure or anything; that this is the entire problem.
I'll further assume by correlation they mean positive correlation - more hours studying means a better score.
Slope of 2.35 is reasonable. CHECK
Correlation doesn't tell us what the slope is; any positive slope is reasonable. It will depend on the scoring levels of the test.
Correlation should be fairly strong to strong
If all we know is correlation we don't know if it's strong. No check.
Based on the study, ... sleep ...
We don't know anything about sleep; no check
Causation ...
It's an old saw: Correlation does not imply causation. No check
A value of r = -.88 is reasonable
Here when we say there's a correlation we seem to mean a positive correlation, so I'm going with not reasonable, no check.
2. Correlation between # training days and amount of rainfall. Increasing rainfall during spring training, less after.
Here we have what's likely a negative correlation -- more rain means less training.
r = 0.79 is possible
I'll go with no check here because we expected a negative correlation.
... causation ....
No check.
high amount of rainfall
Correlations tells us how the variations from average of two things line up. The value of the average itself doesn't matter. No check
Strength of correlation is hard to determine with information given
That's a CHECK. We have no information on the strength.
Slope = -9.84 is reasonable
CHECK
It's negative; the exact value will depend on units of things.
