A common misconception in statistics is confusing correlation with causation. If two events are correlated, it merely means that they share the same behaviour over time, but it doesn't imply in any way that those event are related by a common cause, or even worse, that one implies the other.
You can find several (even humorous) counter examples online. For example, if you plot the number of reported pirates assault against the global temperature in the last years, you'll se that temperature is rising (unfortunately...) while pirates are almost disappearing.
One could observe this strong negative correlation and claim that hotter climate has solved the pirate issue. Of course this is a joke, but it explains why you shouldn't confuse correlation with causation.
Answer:
1)
Y-intercept: -3
Slope: 2
Equation: y = 2x - 3
Step-by-step explanation:
I just answered one since it was only for 5 points. :)
Doubling the lengths of the sides of a rectangle quadruple the area
<h3>How to determine the effect?</h3>
Let the dimension of the rectangle be L and W.
So, the area is
A = LW
When the lengths are doubled, we have:
A2 = 2L * 2W
This gives
A2 = 4LW
This means that the initial area is multiplied by 4
Hence, doubling the lengths of the sides of a rectangle quadruple the area
Read more about similar shapes at:
brainly.com/question/14285697
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18 oranges because if u convert 2 1/4 to a decimal it would be 2.25. Then multiply that by 8 and I will get 18