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Q: Why three are two regression lines?
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Why are there two regression lines?

There are two regression lines if there are two variables - one line for the regression of the first variable on the second and another line for the regression of the second variable on the first. If there are n variables you can have n*(n-1) regression lines. With the least squares method, the first of two line focuses on the vertical distance between the points and the regression line whereas the second focuses on the horizontal distances.


Why is point of intersection of two regression lines median?

It is not.


Where is point of intersection of two regression lines?

The means of the two variable, (x-bar, y-bar)


Can the regression lines be parallel?

Yes.


What are some example sentences for regression?

The marine regression analysis showed that the new subdivision was responsible for the coastline erosion.The wrinkle cream showed a regression in age lines.


How many lines are in a summary?

about two-three lines


Why can three coplanar lines have zero one two or three points of intersection?

If all three lines are parallel, there are zero points of intersection. If all three lines go through a point, there is one point of intersection. If two lines are parallel and the third one crosses them, there are two. If the three lines make a triangle, there are three points.


What is a counterexample for three coplanar lines always make a triangle?

If at least two of the three lines are parallel, the three lines will not form a triangle.


Two lines that form a right triangle?

Two lines can't do that. It takes three lines to form a triangle.


What is the code to power lines three from power lines two?

123321


What is a good idea for a scatter plot?

I like to use age and height in a scatter plot using male and female separate then together. It shows two lines of regression.


How do you read a regression?

Regression Analysis:The average relationship between two or more variable.In English: Regression Mean Stepping back or moving toward the average.