I was trying to achieve an even better separation and see if the effect size was even greater by having the regression line actually fit the data.
22.
Because of the many outliers, neither of the regression lines fits the data well, as measured by the fact that neither gives a very high " R " 2.
23.
In the example, assuming that blood pressure measurements are similarly variable in future patients, our regression line of y on w ( observed blood pressure ) gives unbiased predictions.
24.
The linear sections below and above " T " g are colored green . " T " g is the temperature at the intersection of the red regression lines.
25.
Another way of looking at it is to consider the regression line to be a weighted average of the lines passing through the combination of any two points in the dataset.
26.
Autocorrelation can be visualized on a data plot when a given observation is more likely to lie above a fitted line if adjacent observations also lie above the fitted regression line.
27.
The reason that this estimator is useful is that the inverse regression line is actually unaffected by the Malmquist bias, so long as the selection effects are only based on magnitude.
28.
Reputation could be predicted with high statistical significance but important deviations from the regression line were also apparent; that is to say, some schools were outperforming their reputation, while others were under-performing.
29.
If the median of the distribution plotted on the horizontal axis is 0, the intercept of a regression line is a measure of location, and the slope is a measure of scale.
30.
For comparison, in regression analysis methods such as linear regression, each y value draws the regression line toward itself, making the prediction of that value appear more accurate than it really is.
