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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Schepers
6
60 kgKelly
11
77 kgKuiper
12
69 kgBernaudeau
15
64 kgHinault
18
62 kgde Rooij
21
69 kgvan der Poel
24
70 kg
6
60 kgKelly
11
77 kgKuiper
12
69 kgBernaudeau
15
64 kgHinault
18
62 kgde Rooij
21
69 kgvan der Poel
24
70 kg
Weight (KG) →
Result →
77
60
6
24
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SCHEPERS Eddy | 60 |
| 11 | KELLY Sean | 77 |
| 12 | KUIPER Hennie | 69 |
| 15 | BERNAUDEAU Jean-René | 64 |
| 18 | HINAULT Bernard | 62 |
| 21 | DE ROOIJ Theo | 69 |
| 24 | VAN DER POEL Adrie | 70 |