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Can a correlation be measured?
Yes, correlations can be measured using statistical methods such as Pearson's correlation coefficient or Spearman's rank correlation coefficient. These measures quantify the strength and direction of the relationship between two variables.
What was Nevada's population in 1950?
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When two variables are related but one does not cause the other researchers term the situation?
Researchers term the situation as correlation. Correlation indicates a statistical relationship between two variables, showing how they move together but not necessarily implying causation. The strength and direction of the correlation can provide insights into the relationship between the variables.
Ths term that describes when two factors or two social phenomena co-vary with each other?
The term you are looking for is "correlation." This refers to a statistical measure that indicates the extent to which two or more variables fluctuate together. A positive correlation means the variables move in the same direction, while a negative correlation means they move in opposite directions.
What is correlation between unemployment and divorce?
The correlation between unemployment and divorce is the ending of a job and the ending of marriage. However, that being said unemployment versus divorce is a poor example as a divorce hurts more than being unemployed.
A correlation coefficient of zero indicates?
A correlation coefficient of zero means that two things are not correlated to each other.
What does a correlation coefficient of zero indicates?
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
When two variables are found to be unrelated the correlation coefficient would be?
Zero.
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What is the maximum and minimum value of the correlation coefficient?
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
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.
Is -0.0001 a correlation coefficient?
Yes it can be a correlation coefficient.
Is 1.5 a correlation coefficient?
No, it cannot be a correlation coefficient.
Is 0.5 the strongest correlation coefficient?
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
What is the range of correlation coefficient and what does its value tell?
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.
Which correlation coefficient indicates the weakest relationship between variables?
Pearson's Product Moment Correlation Coefficient indicates how strong the relationship between variables is. A PMCC of zero or very close would mean a very weak correlation. A PMCC of around 1 means a strong correlation.
Correlation coefficients represents the WEAKEST relationship?
A correlation coefficient represents the strength and direction of a linear relationship between two variables. A correlation coefficient close to zero indicates a weak relationship between the variables, where changes in one variable do not consistently predict changes in the other. However, it is important to note that a correlation coefficient of zero does not necessarily mean there is no relationship between the variables, as non-linear relationships may exist.
