what are types of correlation and explain.. don't send answer if u don't know
Answers
Answer:
A deviation that is a difference between an observed value and the true value of a quantity of interest (where true value denotes the Expected Value, such as the population mean) is an error.
A deviation that is the difference between the observed value and an estimate of the true value (e.g. the sample mean; the Expected Value of a sample can be used as an estimate of the Expected Value of the population) is a residual. These concepts are applicable for data at the interval and ratio levels of measurement.
Unsigned or absolute deviation Edit
See also: Average absolute deviation and Least absolute deviation
In statistics, the absolute deviation of an element of a data set is the absolute difference between that element and a given point. Typically the deviation is reckoned from the central value, being construed as some type of average, most often the median or sometimes the mean of the data set:
{\displaystyle D_{i}=|x_{i}-m(X)|,}{\displaystyle D_{i}=|x_{i}-m(X)|,}
where
Di is the absolute deviation,
xi is the data element,
m(X) is the chosen measure of central tendency of the data set—sometimes the mean ({\displaystyle {\overline {x}}}{\overline {x}}), but most often the median.
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Correlation is a bivariate analysis that measures the strength of association between two variables and the direction of the relationship. ... Usually, in statistics, we measure four types of correlations: Pearson correlation, Kendall rank correlation, Spearman correlation, and the Point-Biserial correlation.