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The number of TV sets in the UK and my age.
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∙ 9y ago
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If two graphs have exactly the same shape what can you tell about the variables?
The two variables are correlated.
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 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 is correlational survey?
Correlational surveys involve measuring the relationship between two or more variables without manipulating them. By collecting data on these variables from a sample of participants, researchers can determine the extent to which changes in one variable are associated with changes in another, providing insight into potential patterns or connections 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)
