Correlation coefficients are expressed by a number between -1 and 1.
If the value is -1 or 1 it indecates a perfect (negative and positive) correlation.
If the value is 0 indicates null correlation.
As the correlation value for you data set is -0.833 it is very close to the -1. It indicates a good correlation in the data. Then, the value you predicted is reasonably close to the actual value.
Answer:
37.5 hrs
Step-by-step explanation:
You do cross multiplication hours on top and weeks on the bottom.
It seems like you've begun to group and factored out the GCF.
Because the inner binomials (the ones in parentheses) are the same, the next step is to rewrite the equation like so:
(25-x^2)(y+1)
From here, we can further factor (25-x^2) since they are both perfect squares.
(5+x)(5-x)(y+1)
No further terms can be factored so that is the final answer. Hope this helps!
