Step-by-step explanation:
I'm sorry I can't see anything
Answer:
2,720
Step-by-step explanation:
First you find 12% of 2,000 by multiplying .12 by 2,000. This gives you 720.
Then you add this to 2,000 to get 2,720
<span>A correlation
coefficient is a measure of the strength of dependence and correlation of a set
of data. It shows how good is the fitted model to the data. It will have values
ranging from -1.0 - 1.0. Having a coefficient that is the lower or the upper
limit will tell you that the model best fit the data and a good correlation.
However, as it goes farther from the limits then the correlation is to be a bad
one.</span>
Answer:
speed
Step-by-step explanation:
it's literally stated in the question