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What else can I help you with?
Two variables that are likely to be correlated?
Height and Weight.
Do two variables that are significantly correlated share a variance?
No, they do not.
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 are the values of coefficient of correlation between perfectly correlated variables?
1 or -1
What pairs of variables is negatively correlated?
The number of times a pencil is sharpened and its length
What preposition should follow the word correlated?
co-related to or co- related with
What correlated variables are not independent among themselves?
Those are called outliers, in the data, they are bythemselves
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 insights can be gained from analyzing the relationship between variables in the graphs of x vs y or y vs x?
Analyzing the relationship between variables in graphs of x vs y or y vs x can provide insights into the nature of their relationship. By examining the direction, shape, and strength of the relationship, one can determine if the variables are positively correlated, negatively correlated, or not correlated at all. This analysis can help identify patterns, trends, and potential causal relationships between the variables.
Can 2 variables be correlated at with conclusion at -1.32 or is that number impossible or is it a strong negative corralation?
3.3200000000000003
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
Why principal component analysis is implemented in face recognition?
to convert raw data of correlated variables to data matrix of uncorrelated variables (Principal Component)
