Answer:
Step-by-step explanation:
So, we have-
(6 x .1) + (3 x .01) + (2 x .001)
So, we will solve inside of the parenthesis first.
6 x .1 = <u>.6</u>
So, we got that settled next-
3 x .01 = <u>.03</u>
We got that settled last-
2 x .001 = <u>.002</u>
Lastly, we add them all.
.6 + .03 + .002 = .632
Now we compare.
.632 > .629
So, there is your answer!
Hope this helps!
The regression line equation is

, the value of the slope is shown as constant 16 and it's a positive constant, hence the correlation between the amount of gas used and degree of the days is a POSITIVE correlation.
Answer: 1,259 meters.
Step-by-step explanation:
GIven: The highest elevation in a small country occurs on a mountain above sea level = 1,232 meter
The lowest elevation in the same country occurs below sea level = -27 meters
The difference in elevation between the highest and lowest points = Highest - lowest
= 1232 - (-27) meters
= 1232+27 meters [ (-)(-)=(+) ]
= 1259 meters
Hence, the difference in elevation between the highest and lowest points = 1,259 meters.
Answer:
In the graph attached there is a sample generated with a correlation coefficient r=-0.5.
Step-by-step explanation:
A value of r that is -0.5 shows that there is a certain correlation and that this correlation is negative.
As there are no examples in this question, I searched for a generator of random samples with a user-input correlation coefficient between the two variables.
In the graph attached there is a sample generated with a correlation coefficient r=-0.5.