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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
van Dijk
1
71 kgBrennauer
2
63 kgNorsgaard
3
65 kgPieters
5
58 kgKlein
6
61 kgWood
7
59 kgBeekhuis
8
58 kgvan der Hulst
9
66 kgHenderson
10
58 kgLowden
11
55 kgMajerus
12
56 kgKasper
13
59 kgGrossetête
14
60 kgChabbey
15
52 kgCanuel
16
51 kgD'hoore
17
63 kgLach
18
59 kgGonzález
21
51 kgAndersen
22
55 kgWild
23
75 kgMagner
25
57 kg
1
71 kgBrennauer
2
63 kgNorsgaard
3
65 kgPieters
5
58 kgKlein
6
61 kgWood
7
59 kgBeekhuis
8
58 kgvan der Hulst
9
66 kgHenderson
10
58 kgLowden
11
55 kgMajerus
12
56 kgKasper
13
59 kgGrossetête
14
60 kgChabbey
15
52 kgCanuel
16
51 kgD'hoore
17
63 kgLach
18
59 kgGonzález
21
51 kgAndersen
22
55 kgWild
23
75 kgMagner
25
57 kg
Weight (KG) →
Result →
75
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 2 | BRENNAUER Lisa | 63 |
| 3 | NORSGAARD Emma | 65 |
| 5 | PIETERS Amy | 58 |
| 6 | KLEIN Lisa | 61 |
| 7 | WOOD Alice | 59 |
| 8 | BEEKHUIS Teuntje | 58 |
| 9 | VAN DER HULST Amber | 66 |
| 10 | HENDERSON Anna | 58 |
| 11 | LOWDEN Joscelin | 55 |
| 12 | MAJERUS Christine | 56 |
| 13 | KASPER Romy | 59 |
| 14 | GROSSETÊTE Maëlle | 60 |
| 15 | CHABBEY Elise | 52 |
| 16 | CANUEL Karol-Ann | 51 |
| 17 | D'HOORE Jolien | 63 |
| 18 | LACH Marta | 59 |
| 21 | GONZÁLEZ Alicia | 51 |
| 22 | ANDERSEN Susanne | 55 |
| 23 | WILD Kirsten | 75 |
| 25 | MAGNER Alexis | 57 |