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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Yates
2
74 kgMuseeuw
4
71 kgBölts
7
73 kgEkimov
8
69 kgKelly
10
77 kgDe Wilde
15
70 kgHolm Sørensen
16
77 kg
2
74 kgMuseeuw
4
71 kgBölts
7
73 kgEkimov
8
69 kgKelly
10
77 kgDe Wilde
15
70 kgHolm Sørensen
16
77 kg
Weight (KG) →
Result →
77
69
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | YATES Sean | 74 |
| 4 | MUSEEUW Johan | 71 |
| 7 | BÖLTS Udo | 73 |
| 8 | EKIMOV Viatcheslav | 69 |
| 10 | KELLY Sean | 77 |
| 15 | DE WILDE Etienne | 70 |
| 16 | HOLM SØRENSEN Brian | 77 |