The researcher found that the model's effect size was very large where r = 426. Furthermore, 12 = 182. How much of the variance can be explained
by the linear combination of predictor variables? Is it 5%, 18%, 42%or 43%

4 puzzles in 3 hours

step-by-step explanation:

no association

step-by-step explanation:

if you have eyes and you can use them efficiently you can see that it just looks like random dots like do a line of best fit and like they're so spread out it's such a weak association you might as well consider it nonexistent