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:
The formula for the regression line on the riders in the result is as follows:
result = -0.6 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Lombardi
1
73 kgCapelle
2
73 kgVogels
5
75 kgZanotti
8
70 kgHinault
9
63 kg
1
73 kgCapelle
2
73 kgVogels
5
75 kgZanotti
8
70 kgHinault
9
63 kg
Weight (KG) →
Result →
75
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOMBARDI Giovanni | 73 |
| 2 | CAPELLE Christophe | 73 |
| 5 | VOGELS Henk | 75 |
| 8 | ZANOTTI Marco | 70 |
| 9 | HINAULT Sébastien | 63 |