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:
x=1
Step-by-step explanation:
55+70=125
sum of angles in a triangle is 180 so
180-125=55
54x+1=55
x=1
Answer:
Draw a right triangle such that the distance between the two points is the hypotenuse. Hence, When you use the distance formula, you are calculating the length of the Hypotenuse of a right triangle.
Answer:
(0,4)
Step-by-step explanation:
The y intercept is where the x value is zero
x=0 and y =4
The y intercept is (0,4)
Answer:
Step-by-step explanation
just plug in 0 for z so it would change to -2<6
