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.
Price elasticity of demand is positively correlated with the existence of substitute goods.
Adaptive expectations: assumes peoples' behaviour is totally correlated to past behaviour. History is the dominant factor in choice. Rational expectations: assumes people's behaviour is mostly correlated to acquisition and use of any information about the choice at hand. Rationality is the dominant factor in choice.
they didnt know if they woukd actually find anything new and they wanted to trade
Mixed bundling is preferable to pure bundling when: - Demands are somewhat negatively correlated. - Marginal production costs are significant.
Highly unresponsive to changes in some endogenous factor.
I believe you mean LDL. LDL is considered bad because it is highly correlated with the development of atherosclerosis.
The two variables involved are highly but not perfectly correlated. When the value of one of them rises the other falls, and vice versa.
If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.
nothing
Memory loss is not correlated with signs or pointing to a stroke. Memory loss is highly correlated with Alheizmer's disease. Signs of a stroke are loss of muscles, usually half the body.
novel problems
Anything mutually related to one another.
they are related, but one might not be causing the other
if you mean in value? no they are no longer linked, they USE to be but no longer are, but they should still be.
In PD the only correlated equilibrium is a Nash equilibrium. No strictly dominated strategy can be played in a correlated equilibrium
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.
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!