Chat with our AI personalities
A positive correlation is where the data has an increasing pattern. As X increases, Y also increases.
If you remove certain data points from a dataset, the correlation coefficient may be affected depending on the nature of the relationship between the removed data points and the remaining data points. If the removed data points have a strong relationship with the remaining data, the correlation coefficient may change significantly. However, if the removed data points have a weak or no relationship with the remaining data, the impact on the correlation coefficient may be minimal.
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.
it shows any pattern that may emerge in any given set of date, this includes a positive or negative correlation. positive where a gradient goes from low to high negative where a gradient goes from high to low