What does the correlation coefficient tell a researcher?
The correlation coefficient, often expressed as r, indicates a measure of the direction and strength of a relationship between two variables. When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables.
Which correlation coefficient indicates the strongest relationship between two variables?
According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) and -1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.
Which is most likely the correlation coefficient for the set of data shown?
0.19
Which of the following correlation coefficient s is are used to measure the association between two ordinal variables?
The Spearman rank-order correlation coefficient (Spearman rho) is designed to measure the strength of a monotonic (in a constant direction) association between two variables measured on an ordinal or ranked scale.
How do you determine an association between two variables?
Correlation determines whether a relationship exists between two variables. If an increase in the first variable, x, always brings the same increase in the second variable,y, then the correlation value would be +1.0.
What is the degree of association between variables?
The degree of association is measured by a correlation coefficient, denoted by r. Complete correlation between two variables is expressed by either + 1 or -1. When one variable increases as the other increases the correlation is positive; when one decreases as the other increases it is negative.
What is the degree of association?
The degree of association can be defined as the number of moles of a particular substance associated per more of the substance taken. For example: If out of 10 mole of N2, 3 mole of N2 combine with H2 to form NH3, then degree of association of N2=0.
What is the degree of perfect positive correlation?
The possible range of values for the correlation coefficient is -1.0 to 1.0. In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.
Which of the following is an example of perfect positive correlation?
A basic example of positive correlation is height and weight—taller people tend to be heavier, and vice versa. In a perfectly positive correlation, the variables move together by the exact same percentage and direction 100% of the time.
What does a correlation of .56 mean?
The correlation between variables means that one variable can predict the value of the other variable: If you know a customer’s height, you can estimate his weight.
What does a correlation of 0.08 mean?
A coefficient of correlation of +0.8 or -0.8 indicates a strong correlation between the independent variable and the dependent variable. An r of +0.20 or -0.20 indicates a weak correlation between the variables. When the coefficient of correlation is 0.00 there is no correlation.