MX is the mean of X, MY is the mean of Y, sX is the standard deviation of X, sY is the standard deviation of Y, and r is the correlation between X and Y. Table 3. Statistics for computing the regression line.
Also to know is, what does the Y Bar mean in statistics?
The mean of the random variable Y is also called the expected value or the expectation of Y. It is denoted E(Y). It is also called the population mean, often denoted µ. It is what we do not know in this example. A sample mean is typically denoted ȳ (read "y-bar").
What is the symbol for mean in statistics?
Probability and statistics symbols table
|Symbol||Symbol Name||Meaning / definition|
|f (x)||probability density function (pdf)||P(a ≤ x ≤ b) = ∫ f (x) dx|
|F(x)||cumulative distribution function (cdf)||F(x) = P(X≤ x)|
|μ||population mean||mean of population values|
|E(X)||expectation value||expected value of random variable X|
What is the difference between observed Y and predicted Y called?
We can use the regression line to predict values of Y given values of X. The difference between the observed Y and the predicted Y (Y-Y') is called a residual. The predicted Y part is the linear part. The residual is the error.