There is no correlation.
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.
correlation which can be strong or weak
An undefined correlation is one in which the data would not plot with points making a vertical line.
"If y tends to increase as x increases, then the data have a positive correlation. If y tends to decrease as x increases, then the data have a negative correlation. If the points show no correlation, then the data have approximately no correlation."
various approaches to data exploration are 1. perfect correlation 2. strong correlation 3. weak correlation
There is no correlation.
A positive correlation is where the data has an increasing pattern. As X increases, Y also increases.
If the data have a positive or negative correlation, it means the data have a linear relationship in the form of an equation of a line; or Y = mX + b.
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.
Positive correlation.Positive correlation.Positive correlation.Positive correlation.
correlation
correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty
The closer the correlation is to 1 or -1, the more linear the data is
No, it is not resistant to changes in data.
correlation which can be strong or weak