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 = -1.2 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Madiot
2
68 kgKelly
4
77 kgDuclos-Lassalle
5
73 kgBernaudeau
19
64 kgBourreau
21
63 kg
2
68 kgKelly
4
77 kgDuclos-Lassalle
5
73 kgBernaudeau
19
64 kgBourreau
21
63 kg
Weight (KG) →
Result →
77
63
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MADIOT Marc | 68 |
| 4 | KELLY Sean | 77 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 19 | BERNAUDEAU Jean-René | 64 |
| 21 | BOURREAU Bernard | 63 |