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.
Pieters
1
58 kgvan Dijk
2
71 kgNorsgaard
3
65 kgWood
4
59 kgBrennauer
5
63 kgD'hoore
7
63 kgKlein
8
61 kgHenderson
9
58 kgvan der Hulst
11
66 kgLowden
12
55 kgBeekhuis
13
58 kgLach
15
59 kgGrossetête
16
60 kgGonzález
17
51 kgWild
18
75 kgMajerus
20
56 kgKasper
21
59 kgAndersen
22
55 kg
1
58 kgvan Dijk
2
71 kgNorsgaard
3
65 kgWood
4
59 kgBrennauer
5
63 kgD'hoore
7
63 kgKlein
8
61 kgHenderson
9
58 kgvan der Hulst
11
66 kgLowden
12
55 kgBeekhuis
13
58 kgLach
15
59 kgGrossetête
16
60 kgGonzález
17
51 kgWild
18
75 kgMajerus
20
56 kgKasper
21
59 kgAndersen
22
55 kg
Weight (KG) →
Result →
75
51
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIETERS Amy | 58 |
| 2 | VAN DIJK Ellen | 71 |
| 3 | NORSGAARD Emma | 65 |
| 4 | WOOD Alice | 59 |
| 5 | BRENNAUER Lisa | 63 |
| 7 | D'HOORE Jolien | 63 |
| 8 | KLEIN Lisa | 61 |
| 9 | HENDERSON Anna | 58 |
| 11 | VAN DER HULST Amber | 66 |
| 12 | LOWDEN Joscelin | 55 |
| 13 | BEEKHUIS Teuntje | 58 |
| 15 | LACH Marta | 59 |
| 16 | GROSSETÊTE Maëlle | 60 |
| 17 | GONZÁLEZ Alicia | 51 |
| 18 | WILD Kirsten | 75 |
| 20 | MAJERUS Christine | 56 |
| 21 | KASPER Romy | 59 |
| 22 | ANDERSEN Susanne | 55 |