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 = -0.9 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Elliott
1
76 kgKelly
5
77 kgvan der Poel
7
70 kgRoche
10
74 kgWeltz
15
65 kgYates
16
74 kgKuiper
18
69 kg
1
76 kgKelly
5
77 kgvan der Poel
7
70 kgRoche
10
74 kgWeltz
15
65 kgYates
16
74 kgKuiper
18
69 kg
Weight (KG) →
Result →
77
65
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 5 | KELLY Sean | 77 |
| 7 | VAN DER POEL Adrie | 70 |
| 10 | ROCHE Stephen | 74 |
| 15 | WELTZ Johnny | 65 |
| 16 | YATES Sean | 74 |
| 18 | KUIPER Hennie | 69 |