Answer:
–0.83
Step-by-step explanation:
An r-value, or correlation coefficient, tells us the strength of the correlation in a linear regression. This number ranges from -1 to 1; -1 is a perfect linear fit for a decreasing set of data, while 1 is a perfect linear fit for an increasing set of data.
The closer the r-value is to either -1 or 1, the stronger the correlation is.
The two negative numbers we have are -0.83 and -0.67. The first one, -0.83, is 0.17 away from -1. -0.67, on the other hand, is 0.33 away from -1. The two positive numbers we have are 0.48 and 0.79. The first one, 0.48, is 0.52 away from 1. The second one, 0.79, is 0.21 away from 1. The one that is closest to the perfect fit is -0.83, since it is only 0.17 away from a perfect fit.
It is D because you would do x+6 and would get y so it represents direct proportion
18/1
36/2
72/4
...and many more....
Answer:
you would have to be still!
Step-by-step explanation:
When it says varies directly, it means that y and x are going to be on opposite sides of the equals sign and that there is a constant, k,
y=kx
Plug in (5,100)
100=k(5)
K=20
