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 = 1.5 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Duclos-Lassalle
6
73 kgBittinger
10
69 kgBernaudeau
16
64 kgMartinez
34
80 kgKelly
38
77 kg
6
73 kgBittinger
10
69 kgBernaudeau
16
64 kgMartinez
34
80 kgKelly
38
77 kg
Weight (KG) →
Result →
80
64
6
38
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 10 | BITTINGER René | 69 |
| 16 | BERNAUDEAU Jean-René | 64 |
| 34 | MARTINEZ Paulino | 80 |
| 38 | KELLY Sean | 77 |