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 + 33
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 kgD'hoore
4
63 kgvan Dijk
5
71 kgWiebes
6
60 kgKröger
7
77 kgGuarischi
8
57 kgBrennauer
9
63 kgKoster
10
56 kgAndersen
11
55 kgMajerus
12
56 kgKasper
13
59 kgPieters
14
58 kgWood
15
59 kgvan der Breggen
17
56 kgPlichta
19
60 kgRoberts
20
60 kgvan der Hulst
23
66 kgKessler
25
60 kg
1
75 kgKlein
2
61 kgHenttala
3
58 kgD'hoore
4
63 kgvan Dijk
5
71 kgWiebes
6
60 kgKröger
7
77 kgGuarischi
8
57 kgBrennauer
9
63 kgKoster
10
56 kgAndersen
11
55 kgMajerus
12
56 kgKasper
13
59 kgPieters
14
58 kgWood
15
59 kgvan der Breggen
17
56 kgPlichta
19
60 kgRoberts
20
60 kgvan der Hulst
23
66 kgKessler
25
60 kg
Weight (KG) →
Result →
77
55
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | KLEIN Lisa | 61 |
| 3 | HENTTALA Lotta | 58 |
| 4 | D'HOORE Jolien | 63 |
| 5 | VAN DIJK Ellen | 71 |
| 6 | WIEBES Lorena | 60 |
| 7 | KRÖGER Mieke | 77 |
| 8 | GUARISCHI Barbara | 57 |
| 9 | BRENNAUER Lisa | 63 |
| 10 | KOSTER Anouska | 56 |
| 11 | ANDERSEN Susanne | 55 |
| 12 | MAJERUS Christine | 56 |
| 13 | KASPER Romy | 59 |
| 14 | PIETERS Amy | 58 |
| 15 | WOOD Alice | 59 |
| 17 | VAN DER BREGGEN Anna | 56 |
| 19 | PLICHTA Anna | 60 |
| 20 | ROBERTS Jessica | 60 |
| 23 | VAN DER HULST Amber | 66 |
| 25 | KESSLER Nina | 60 |