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.
If a data point has a residual of zero, it means that the observed value of the data point matches the value predicted by the regression model. In other words, there is no difference between the actual value and the predicted value for that data point.
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.
"Point" can mean "point" as in a dot or a specific location, or it can also mean "not" or "doesn't" when used in a negative context.
line graph