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When two variables are correlated it means that one caused the other?
Wiki User
∙ 11y ago
No.
This a common misunderstanding and it is sometime the case but not necessarily.
A person who drives a lot gets in more accidents but may have caused none of them, they may have been hit by a drunk driver, etc.
Gamble more and you lose more.
Those are correlated and one caused the other.
Wiki User
∙ 11y ago
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What are the shortcomings of correlation?
One shortcoming is the danger of assuming that because 2 variables are highly correlated then one must have caused the other. Correlations alone can never support this assumption.
What is the meaning of positive correlation?
Two variables are said to be positively correlated if an increase in one is accompanied by an increase in the other. There need not be any causal link between these changes.
What does it mean if two sets of data are correlated?
they are related, but one might not be causing the other
How do these two events relate to each other a. they are actually related because traffic slowdown caused the emergency landing B's.?
B. They are correlated because the hot-air gallon and the traffic are related to travel.
What does it mean if two variables have a negative correlation?
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
What are the shortcomings of correlation?
One shortcoming is the danger of assuming that because 2 variables are highly correlated then one must have caused the other. Correlations alone can never support this assumption.
What does ''highly correlated'' mean?
Correlation is defined as the degree of relationship between two or more variables. It is also called the simple correlation. The degree of relationship between two or more variables is called multi correlation. when two or more variables are said to be higjly correlated it means that they have a strong relationship such that a given rise or fall in one variable will lead to a direct change in the other variable or variables. good examples of highly correlated variables are price and quantity, wage rate and out put, tax and income.
What does the phrase correlation does not prove causation mean?
When things are correlated it means one thing predicts the other, but it doesn't mean it causes the other. I'll give an example. Golden anniversaries and hair loss are correlated. Now if you didnt know this phrase you would think long marriages causes hair loss, but its just that if your reach your golden anniversary it means youre probably very old, which accompanies hair loss. Correlated, not caused!
What does a correlation -0.9 mean?
The two variables involved are highly but not perfectly correlated. When the value of one of them rises the other falls, and vice versa.
What is negatively correlated?
Two variables are negatively correlated when the slope of the best-fit line that is drawn on the scatter plot with the independent variable on the x-axis and the dependent variable on the y-axis is negative.
Is women's intelligence proportional to the length of her skirt?
Skirt lengths and intelligence are randomly correlated having a correlation coefficient of zero to plus 0.15 ie knowing the measure of one does not predict the value of the other--they are independent variables. To say such and such are not correlated is to say you have not compared the variables. They may have identity with a value of plus one, or they may be inversely related having a value of negative one, or they may be randomly correlated with a value of zero--but to compare is to correlate.
What is the meaning of positive correlation?
Two variables are said to be positively correlated if an increase in one is accompanied by an increase in the other. There need not be any causal link between these changes.
How is saying that two variables are correlated different from saying saying that one caused the other?
Correlation and causality are not necessarily related. My age is pretty well correlated with the number of TV sets in the world. But neither of them is caused by the other. In this particular example, they both happen to be correlated to time, but there need not be such a factor. Conversely, let y = x2. Compile a set of pairs of x values, x = -m and x = +m and the corresponding y values, m2. Now, y is totally defined by x, but the correlation of y with x (not x2) for the above set of values will be zero. In this example x causes y but the relationship is not linear - the model is wrongly specified.
If two sets of data are correlated this means that?
they are related, but one might not be causing the other.
If two sets of data are correlated this means?
They are related but one might not be causing the other
What does it mean when 2 variables have a relationship?
Usually it means that each of the variables is dependent on the other. if one changes, so does the other.
A correlation coefficient of zero indicates?
A correlation coefficient of zero means that two things are not correlated to each other.
