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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Wild
1
75 kgKlein
2
61 kgHenttala
3
58 kgvan Dijk
4
71 kgKröger
5
77 kgGuarischi
6
57 kgD'hoore
7
63 kgWiebes
8
60 kgMajerus
9
56 kgKasper
10
59 kgPieters
11
58 kgWood
12
59 kgAndersen
13
55 kgvan der Breggen
14
56 kgRoberts
16
60 kgKoster
18
56 kgBrennauer
19
63 kgKessler
22
60 kg
1
75 kgKlein
2
61 kgHenttala
3
58 kgvan Dijk
4
71 kgKröger
5
77 kgGuarischi
6
57 kgD'hoore
7
63 kgWiebes
8
60 kgMajerus
9
56 kgKasper
10
59 kgPieters
11
58 kgWood
12
59 kgAndersen
13
55 kgvan der Breggen
14
56 kgRoberts
16
60 kgKoster
18
56 kgBrennauer
19
63 kgKessler
22
60 kg
Weight (KG) →
Result →
77
55
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | KLEIN Lisa | 61 |
| 3 | HENTTALA Lotta | 58 |
| 4 | VAN DIJK Ellen | 71 |
| 5 | KRÖGER Mieke | 77 |
| 6 | GUARISCHI Barbara | 57 |
| 7 | D'HOORE Jolien | 63 |
| 8 | WIEBES Lorena | 60 |
| 9 | MAJERUS Christine | 56 |
| 10 | KASPER Romy | 59 |
| 11 | PIETERS Amy | 58 |
| 12 | WOOD Alice | 59 |
| 13 | ANDERSEN Susanne | 55 |
| 14 | VAN DER BREGGEN Anna | 56 |
| 16 | ROBERTS Jessica | 60 |
| 18 | KOSTER Anouska | 56 |
| 19 | BRENNAUER Lisa | 63 |
| 22 | KESSLER Nina | 60 |