is when on a graph the dots are close together (Not quite.)
answ2. Correlation is the amount of a phenomenon which may be explained by one of the variables.
When plotted on a graph, if the data formed a straight line with no outlying points, that would illustrate a high degree of correlation. (between the x and y axes.)
If there were considerable scatter of your points from a line, then the correlation would be weak.
If for example I plotted the height of a class of boys, against their ages, I would expect a good correlation. In other words, a large amount of the variability in height could be explained by the age variable.
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
Positive correlation.Positive correlation.Positive correlation.Positive correlation.
positive correlation-negative correlation and no correlation
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
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.
Indentation rhymes with correlation
a number derived from the formula for measuring a correlation and indicating the strength and direction of a correlation
No, The correlation can not be over 1. An example of a strong correlation would be .99
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
correlation is a difference in statistics
it depends on if it is negative or positive correlation
No, there is not a correlation.
No, it cannot be a correlation coefficient.
Yes, but not a linear correlation.
Positive correlation has a positive slope and negative correlation has a negative slope.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.