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:
Y=3x+2, Y= -3x-2
Step-by-step explanation:
If you need a consistent (parallel) line you must have very similar equations, with only positives and negatives being changed. If it's Y=3x+2, only the 2 is changed from negative to positive changing the lines position. If it's Y= -3x-2 then the X value is moved to a different coordinate and the -2 keeps the change.
Hope this helps and please critique what I've done if im wrong.
The answer would be i<span>n step 4, he made an error in determining which value is closer to 82.5</span>
Answer:
29.4
Step-by-step explanation:
42*0.7
Theoretical Probability is what you think the result will be, and experimental probability is what it turns out to be, hope this helps.
