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Which is the stronger correlation -1.00 or plus 1.00?
1.00
What is a stronger correlation than -0.54?
The correlation coefficient ranges from 0 to ±1. The sign of the correlation coefficient shows the correlation as positive (as one increases so does the other) or negative (as one increases the other decreases). 0 represent no correlation and ±1 represents perfect correlation. The further from 0 towards ±1, the stronger the correlation, ie the greater the absolute value* of the correlation coefficient the stronger the correlation. To have a stronger correlation than -0.54 the absolute value must be greater than 0.54; ie all correlation coefficients that are less than -0.54 (eg -0.6, -0.9) and all those greater than +0.54 (eg 0.7, 0.95) are stronger correlations. Mathematically speaking, all those with a correlation coefficient r such that |r| > 0.54 *The absolute value of a number is the number ignoring its sign (ie how far it is away from 0 ignoring the direction along the number line), eg |56| = 56 |-45| = 45 |-56| = 56 Thus |-56| = |56| = 56.
What is 100 plus 100 plus 90 plus 90 plus 84 plus 57 plus 85 plus 100 plus 100 plus 90 plus 91 plus 100 plus 70 plus 100 plus 95 plus 83 plus 100 divided by 14?
108 remainder 3 :D
What does it mean when a positive correlation coefficient between the dependent variable Y and the independent variable X indicates?
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.
What correlations indicates the weakest relationship plus 83 -74 plus 10 or -21?
The correlation showing the weakest relationship is -74.
Which is the stronger correlation -1.00 or plus 1.00?
1.00
What implies a stronger linear relationship a correlation of plus 4 or a correlation of -6 and why?
Something is wrong. Correlations cannot be less than -1 or greater than 1.
Which is the stronger correlation?
The stronger correlation will be the one whose absolute value is closest to one. For example, r = -.78 is stronger than r=.65, because: |r| = |-.78| = .78 > |r| = |.65| = .65
What is a stronger correlation than -0.54?
The correlation coefficient ranges from 0 to ±1. The sign of the correlation coefficient shows the correlation as positive (as one increases so does the other) or negative (as one increases the other decreases). 0 represent no correlation and ±1 represents perfect correlation. The further from 0 towards ±1, the stronger the correlation, ie the greater the absolute value* of the correlation coefficient the stronger the correlation. To have a stronger correlation than -0.54 the absolute value must be greater than 0.54; ie all correlation coefficients that are less than -0.54 (eg -0.6, -0.9) and all those greater than +0.54 (eg 0.7, 0.95) are stronger correlations. Mathematically speaking, all those with a correlation coefficient r such that |r| > 0.54 *The absolute value of a number is the number ignoring its sign (ie how far it is away from 0 ignoring the direction along the number line), eg |56| = 56 |-45| = 45 |-56| = 56 Thus |-56| = |56| = 56.
What does Correlation of plus 1.00 mean?
It mean that there is no correlation between the two variables. The variables are the same.
Which is strongest value for correlation coefficient -0.75 and 0.25?
The further the correlation coefficient is from 0 (ie the closer to ±1) the stronger the correlation.Therefore -0.75 is a stronger correlation than 0.25The strength of the correlation is dependant on the absolute value of the correlation coefficient; the sign of the correlation coefficient gives the "relative" slope of correlation line:+ve (0 to +1) means that as one variable increases the other also increases;-ve (0 to -1) means that as one variable increases the other decreases.
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 value of r indicates a stronger correlation r equals 0.834 or r equals -0.925?
Oh, isn't that just lovely? Both values show a strong correlation, but the one closer to 1 or -1 indicates a stronger relationship. So, in this case, r equals 0.834 is slightly stronger than r equals -0.925. Just remember, both values show a beautiful connection between the variables.
Which one of the following correlation coefficients indicates the weakest correlation Answer - 0.01 plus 0.021 plus 0.76 - 0.88?
Assuming that all of these coefficients are based on samples of the same size then the weakest correlation is -0.01 because its absolute value (0.01) is the smallest.
does The strength of the correlation between two variables depend on the sign of the coefficient of correlation?
No, it depends upon the size of the coefficient of correlation: the closer to ±1 the stronger the correlation.When the correlation coefficient is positive, one variable increases as the other increases; when negative one increases as the other decreases.
What is 100 plus 100 plus 90 plus 90 plus 84 plus 57 plus 85 plus 100 plus 100 plus 90 plus 91 plus 100 plus 70 plus 100 plus 95 plus 83 plus 100 divided by 14?
108 remainder 3 :D
What does a correlation coefficient indicate?
A correlation coefficient quantifies the strength and direction of the relationship between two variables. Ranging from -1 to 1, a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 signifies no correlation. Higher absolute values indicate stronger relationships, while lower values suggest weaker or no relationships. It's important to note that correlation does not imply causation.
