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 = 0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Saramotins
2
75 kgHegreberg
3
72 kgBoasson Hagen
5
75 kgLarsen
11
71 kgJacobs
12
68 kgRasch
13
72 kgMortensen
22
70 kgVandenbergh
23
86 kgNordhaug
30
63 kgEichler
31
78 kgOliphant
37
66 kgKristoff
39
78 kgDe Gendt
41
73 kgJørgensen
43
60 kgJohnsen
46
70 kgOjavee
78
80 kg
2
75 kgHegreberg
3
72 kgBoasson Hagen
5
75 kgLarsen
11
71 kgJacobs
12
68 kgRasch
13
72 kgMortensen
22
70 kgVandenbergh
23
86 kgNordhaug
30
63 kgEichler
31
78 kgOliphant
37
66 kgKristoff
39
78 kgDe Gendt
41
73 kgJørgensen
43
60 kgJohnsen
46
70 kgOjavee
78
80 kg
Weight (KG) →
Result →
86
60
2
78
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SARAMOTINS Aleksejs | 75 |
| 3 | HEGREBERG Morten | 72 |
| 5 | BOASSON HAGEN Edvald | 75 |
| 11 | LARSEN Tom | 71 |
| 12 | JACOBS Pieter | 68 |
| 13 | RASCH Gabriel | 72 |
| 22 | MORTENSEN Martin | 70 |
| 23 | VANDENBERGH Stijn | 86 |
| 30 | NORDHAUG Lars Petter | 63 |
| 31 | EICHLER Markus | 78 |
| 37 | OLIPHANT Evan | 66 |
| 39 | KRISTOFF Alexander | 78 |
| 41 | DE GENDT Thomas | 73 |
| 43 | JØRGENSEN René | 60 |
| 46 | JOHNSEN Lars Kristian | 70 |
| 78 | OJAVEE Mart | 80 |