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.
Answer:
Step-by-step explanation:
The given function is
To find F(2), we substitute t=2 into the function.
This means that wherever we see t, we put 2
We multiply the exponent in the denominator to get:
We evaluate to get:
We now cancel the common factors to get:
Answer:
On the y axis
Step-by-step explanation:
If x is zero, it automatically has to be on the y axis because x=0 is where the x and y axis intersect.
Answer:
5x + 16
Step-by-step explanation:
the first thing you do in this equation is to distribute the 2 into x + 6
you get
2x + 12 + 3x + 4 = ?
then you must put the 2x and the 3x together
5x + 12 + 4
and you can then add the 12 and 4
5x + 16
There would be an open circle on positive 12 with the arrow moving to the right.