2007
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2006»1st

Tour of California

(2.1)
2006»Stage 7 (Final)»Redondo BeachRedondo Beach(123.1km)

Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -0.4 * weight + 29

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Peterson
1
70 kg
Lewis
3
65 kg
Weight (KG) →
Result →
70
65
1
3
#RiderWeight (KG)
1 PETERSON Tom70
3 LEWIS Craig65