Answer:
Correlation does not mean <em>causation</em> even after having a relatively high correlation coefficient as a result.
Step-by-step explanation:
Correlation and causation are not the same. Correlation does not mean that variations in one variable <em>cause</em> variations in the second variable. Instead, correlation considers that variations in one variable <em>corresponds</em> with variations of the second variable. No more.
Correlation is an important first step to establish that one variable possibly can cause some effect on the other, but it is not a definitive answer to this question. It is crucial to find other possible factors that can explain what causes some effect.
As a conclusion, a positive and relative high correlation coefficient does not necessarily mean causation. It simply tells us that some study found that people that listen to loud music are also people with poor hearing problems, and possibly a cause to the latter variable is to listen loud music repeatedly, but it is a must to find other possible factors before definitely concluding that.
Answer: Slope = -2.667/2.000 = -1.333
x-intercept = 5/4 = 1.25000
y-intercept = 5/3 = 1.66667
Step-by-step explanation: Slope is defined as the change in y divided by the change in x. We note that for x=0, the value of y is 1.667 and for x=2.000, the value of y is -1.000. So, for a change of 2.000 in x (The change in x is sometimes referred to as "RUN") we get a change of -1.000 - 1.667 = -2.667 in y. (The change in y is sometimes referred to as "RISE" and the Slope is m = RISE / RUN)
The slope is 5/7
4-(-1)=5 which is the Y value
5-(-2)=7 which is the X value
Slope =Y/X
Percent change formula states that
((New-old)/old) x 100 = the percent change / percent increase
So if we take your equation and plug it into our formula
((225-120)/120) x 100
(105)/120 x 100
.875 x 100
87.5 % increase of students on the trip
Hope this helps!
9 pounds
8oz x 18 = 144oz
144oz/16(oz per lb) = 9 lb
