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Q: Two variables that are likely to be correlated?
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Do two variables that are significantly correlated share a variance?

No, they do not.


If the value of two variables decreases are they positively correlated?

Not necessarily. They must decrease together (the question does not say so). Also, the decreases may not be sufficient for the to be correlated. It is less likely that they are negatively correlated, but with the amount of information in the question that is about all that can be said.


What are examples of two variables that are likely to be correlated because they are both changing over time -?

Velocity and distance of an accelerating object would be one example.


If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?

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.


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.


Is it true that if two variables are not linearly correlated then they are not related?

false they can be related with quadratic equation as well


What preposition should follow the word correlated?

The preposition "with" should follow the word "correlated." For example: "The data suggests that these two variables are strongly correlated with each other."


What are two variables that are negatively correlated?

As the population increases, the living space per capita of the country decreases.


What is multi collinearity?

Multicollinearity is the condition occurring when two or more of the independent variables in a regression equation are correlated.


What does a relationship between two correlated variables have?

Correlation between two variables implies a linear relationship between them. The existence of correlation implies no causal relationship: the two could be causally related to a third variable. For example, my age is correlated with the number of TV sets in the UK but obviously there is no causal link between them - they are both linked to time.


What variables are correlated?

The number of TV sets in the UK and my age.


If two graphs have exactly the same shape what can you tell about the variables?

If two graphs have exactly the same shape, it indicates that the variables are proportional to each other. This means that as one variable increases or decreases, the other variable changes in a consistent and fixed ratio.