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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Pieters
1
58 kgWood
2
59 kgvan Dijk
3
71 kgD'hoore
4
63 kgHenderson
5
58 kgNorsgaard
6
65 kgBrennauer
7
63 kgKlein
10
61 kgLowden
12
55 kgBeekhuis
14
58 kgvan der Hulst
16
66 kgLudwig
17
55 kgWild
18
75 kgMajerus
20
56 kgDuval
21
53 kgKröger
22
77 kgSimmonds
24
55 kgHosking
25
60 kg
1
58 kgWood
2
59 kgvan Dijk
3
71 kgD'hoore
4
63 kgHenderson
5
58 kgNorsgaard
6
65 kgBrennauer
7
63 kgKlein
10
61 kgLowden
12
55 kgBeekhuis
14
58 kgvan der Hulst
16
66 kgLudwig
17
55 kgWild
18
75 kgMajerus
20
56 kgDuval
21
53 kgKröger
22
77 kgSimmonds
24
55 kgHosking
25
60 kg
Weight (KG) →
Result →
77
53
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIETERS Amy | 58 |
| 2 | WOOD Alice | 59 |
| 3 | VAN DIJK Ellen | 71 |
| 4 | D'HOORE Jolien | 63 |
| 5 | HENDERSON Anna | 58 |
| 6 | NORSGAARD Emma | 65 |
| 7 | BRENNAUER Lisa | 63 |
| 10 | KLEIN Lisa | 61 |
| 12 | LOWDEN Joscelin | 55 |
| 14 | BEEKHUIS Teuntje | 58 |
| 16 | VAN DER HULST Amber | 66 |
| 17 | LUDWIG Hannah | 55 |
| 18 | WILD Kirsten | 75 |
| 20 | MAJERUS Christine | 56 |
| 21 | DUVAL Eugénie | 53 |
| 22 | KRÖGER Mieke | 77 |
| 24 | SIMMONDS Hayley | 55 |
| 25 | HOSKING Chloe | 60 |