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There are several statistical measures of correlation: some require only a nominal scale, that is, data classified according to two criteria; others require an ordinal scale, which is the ability to determine whether one measurement is bigger or smaller than another; others require an interval scale, which allows you to determine the difference in values but not the ratio between them. [A good example of the latter is temperature measured in any scale other than Kelvin: the difference between 10 degrees C and 15 degrees C is 5 C degrees, but 15 C is not 1.5 times as warm as 10 C.]
- The contingency coefficient, which is suitable for nominal data, has a chi-squared distribution.
- The Spearman rank correlation, requiring ordinal data, has its own distribution for small data sets but as the number of units increases to n, the distribution approaches Student's t-distribution with n-2 degrees of freedom.
- The Kendall rank correlation coefficient can be used in identical situations and gives the same measure of significance. However, the Kendall coefficient can also be used to test partial correlation - whether the correlation between two variables is "genuine" or whether it arises because both variables are actually correlated to a third variable.
- The Pearson's product moment correlation coefficient (PMCC) is the most powerful but requires measurement on an interval scale as well as an underlying bivariate Normal distribution.
The significance levels of these correlation measures are tabulated for testing.
A simple "rule of thumb" for testing the significance of PMCC is that values below -0.7 or above 0.7 are highly significant. Values in the ranges (-0.7, -0.3) and (0.3, 0.7) are moderate, and values between -0.3 and +0.3 are not significant.
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What does a correlation factor of -0.95 mean?
This means that the correlation is negative but still significant.
What is the meaning of 0.79 coefficient correlation?
good correlation
What is a correlation where both sets of data values increase or decrease together?
Positive correlation.Positive correlation.Positive correlation.Positive correlation.
What does correlation mean in maths?
Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.
A correlation of -90 is weaker than a correlation of 87 true or false?
true
What does a correlation factor of -0.95 mean?
This means that the correlation is negative but still significant.
Significant of homosexuals to the teachers?
There is no significance or correlation between gay people and teachers.
Indicate whether these passage contain a faulty move from correlation to cause.if so state your criticism1.There is a significant correlation between going to the hospital and dyingso hospital are imp?
Indicate whether these passage contain a faulty move from correlation to cause.if so state your criticism? 1.There is a significant correlation between going to the hospital and dying,so hospital are important causal factors in the occurrence of deaths.
Indicate whether these passages contain a faulty move from correlation to cause. If so state your criticism There is a significant correlation between going to the hospital and dying so hospital are?
Indicate whether these passages contain a faulty move from correlation to cause. If so state your criticism? 1.There is a significant correlation between going to the hospital and dying ,so hospital are important causal factors in the occurrence of deaths.
How would you interpret the findings of a correlation study that reported a linear correlation coefficient of 1.67?
There is not enough information to say much. To start with, the correlation may not be significant. Furthermore, a linear relationship may not be an appropriate model. If you assume that a linear model is appropriate and if you assume that there is evidence to indicate that the correlation is significant (by this time you might as well assume anything you want!) then you could say that the dependent variable increases by 1.67 for every unit change in the independent variable - within the range of the independent variable.
How would you interpret the findings of a correlation study that reported a linear correlation coefficient of -0.13?
There is not enough information to say much. To start with, the correlation may not be significant. Furthermore, a linear relationship may not be an appropriate model. If you assume that a linear model is appropriate and if you assume that there is evidence to indicate that the correlation is significant (by this time you might as well assume anything you want!) then you could say that the dependent variable decreases by 0.13 units for every unit change in the independent variable - within the range of the independent variable.
When you have a scatter plot and you have to choose a correlation I know Positive Negative and no correlation are options Is moderate correlation an option?
Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.
What is descriptive correlation method application?
If you mean what is a descriptive correlational design, it is a design which uses some form of correlation to describe the data, but does not seek to find whether it is a statistically significant relationship. e.g. I run a small pilot study with 10 people and record their age and whether they like tattoos (scaled from 1= no to 7 a lot), I get a negative correlation of 0.4. I use this descriptively to decide there is something to investigate, and then use an infernetial correlation with a better sized / more representative sample to see if there is a significant relationship between the two variables. D
Auto correlation and cross correlation?
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
How harmful is the radiation from iPhones?
Probably not much. Large-scale studies about the use of cell phones have found no significant correlation with health problems.
How do you know when there is positive correlation on a graph?
when the points on the graph are close to each other;)
Is there any correlation between golfing handedness and hockey handedness?
i dont know
