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While correlation coefficients measure the strength of association between two variables, linear correlation indicates the strongest association between two variables. Visually, this represents any relationship between two variables that depicts a straight line when plotted out next to each other in a graph.
Which correlation coefficient indicates the strongest relationship between two variables? a) -0.85 - This was my answer which I thought was the closest to one (meaning strongest. b)1.94. c)0.58 - This is what the textbook says is the correct answer, but why? d)0.19. Thanks for your help!
Which of the following correlation coefficients represents ? The possible value of a correlation coefficient ranged from -1 to 1. The closer a coefficient is to either -1 or 1, the stronger it is. The closer a coefficient is to 0, the weaker it is. Therefore
Which of the following correlation coefficients indicates ? Here, if the value of the correlation coefficients is nearest to the positive one (+1), then it shows that the relationship between the variables is stronger. If the value of the correlation
Which correlation coefficient represents the strongest ? The relationship between two variables is generally considered strong when their r value is larger than 0.7. The correlation r measures the strength of the linear relationship between two quantitative variables. One may also ask, is 0.4 A strong correlation? This is a strong positive relationship; the correlation coefficient is 0.9408.
Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. A linear correlation coefficient …
Which of these r= values represents the strongest ? Correlation ranges from -1 to 1, and shows us how two variables relate to each other and its sign its magnitude. The strongest ones are when Since the maximum strongest negative correlation is when r=-1, then is the strongest correlation enlisted above.
What is Considered to Be a "Strong" Correlation? The further away r is from zero, the stronger the relationship between the two variables. It’s important to note that two variables could have a strong positive correlation or a strong negative correlation. Strong positive correlation: When the value of one variable increases, the value of the other variable increases in a similar fashion.
Correct answers: 1 question: Which of the following correlation coefficients represents the strongest relationship between two variables? -0.50 +1.24 +0.01 +0.62 -0.98
What is the coefficient of correlation? 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. Relationship of Coefficient of Correlation to Coefficient of
How Are Correlations Are Used in Psychology Research? 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 of the following coefficients of correlation ? Which of the following coefficients of correlation indicates the STRONGEST relationship between two sets of variables? a. -0.80 b. -.10 c. +1.25Last modified: February 05 2021
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