Brahmajyothi
If variables have zero correlation, they do not have a linear relationship. Zero correlation shows that two things were not found to be related.
If measurements are taken for two (or more) variable for a sample , then the correlation between the variables are the sample correlation. If the sample is representative then the sample correlation will be a good estimate of the true population correlation.
Evidence that there is no correlation.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
Yes it can be a correlation coefficient.
If variables have zero correlation, they do not have a linear relationship. Zero correlation shows that two things were not found to be related.
Signal processing is an engineering principle that deals with the analysis of signals. Event correlation is a technical term for when data is analyzed and there is a correlation that is found.
There may be a weak correlation, but there is no known mechanism to cause this and it is unlikely one will be found.
Faunal Cross-correlation is the use of animal bones found within an archaeological site to determine a relative date.
Zero.
Fossils that are the most useful for correlation tend to be found in various types of rocks, are widespread, and easy to recognize. One rock type where fossils are found is sedimentary rocks.
A random galaxy is used in the "Correlation function" [See Link] to describe the possibilities of another galaxy being found within a certain distance.Given a random galaxy in a location, the correlation function describes the probability that another galaxy will be found within a given distance.See related for types of galaxies.
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
The correlation coefficient is a statistical measure of the extent to which two variables change. A correlation coefficient of -0.80 indicated that, on average, an increase of 1 unit in variable X is accompanied by a decrease of 0.8 units in variable Y. Note that correlation does not imply causation.
A Pearson correlation measures the strength and direction of a linear relationship between two continuous variables, ranging from -1 (perfect negative correlation) to 1 (perfect positive correlation). An example could be studying the correlation between the amount of rainfall and crop yield in agricultural research to understand how variations in rainfall affect crop productivity.
positive correlation-negative correlation and no correlation
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).