The point lies one unit below the regression line.
The point lies 1 unit below the regression line.
The data point is close to the expected value.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
Negative z value means that the raw dat is below the mean, if z value is positive it means that the raw data is above the mean.
A 99.6 percentile means that 99.6% of the data in the sample is at or below the data point given.
The point lies directly on the regression line.
The point lies 1 unit below the regression line.
The point lies 1 unit below the regression line.
Residual point
The point lies one unit above the regression line.
Yes. If much of your data has negative values, it's likely that the mean will be negative, too.
The data point is close to the expected value.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
Negative longitude meabs that the ballon is in the western hemisphere.
line graph
Let's say that you fit a simple regression line y = mx + b to a set of (x,y) data points. In a typical research situation the regression line will not touch all of the points; it might not touch any of them. The vertical difference between the y-co-ordinate of one of the data points and the y value of the regression line for the x-co-ordinate of that data point is called a residual.There will be one residual for each data point.To see some labelled diagrams of residuals search images.google.com for residuals.