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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Löwik
1
72 kgDekker
3
69 kgScheuneman
4
75 kgMarkov
5
80 kgSchmitz
6
77 kgDegano
7
68 kgZanotti
10
70 kgAbakoumov
11
68 kgChicchi
12
76 kgDe Schrooder
13
61 kgSutherland
14
75 kgKlimov
16
69 kgLoda
17
73 kgRoesems
18
81 kgVoskamp
21
75 kgde Kort
24
69 kgDekkers
25
72 kgGiling
27
72 kg
1
72 kgDekker
3
69 kgScheuneman
4
75 kgMarkov
5
80 kgSchmitz
6
77 kgDegano
7
68 kgZanotti
10
70 kgAbakoumov
11
68 kgChicchi
12
76 kgDe Schrooder
13
61 kgSutherland
14
75 kgKlimov
16
69 kgLoda
17
73 kgRoesems
18
81 kgVoskamp
21
75 kgde Kort
24
69 kgDekkers
25
72 kgGiling
27
72 kg
Weight (KG) →
Result →
81
61
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÖWIK Gerben | 72 |
| 3 | DEKKER Thomas | 69 |
| 4 | SCHEUNEMAN Niels | 75 |
| 5 | MARKOV Alexei | 80 |
| 6 | SCHMITZ Bram | 77 |
| 7 | DEGANO Enrico | 68 |
| 10 | ZANOTTI Marco | 70 |
| 11 | ABAKOUMOV Igor | 68 |
| 12 | CHICCHI Francesco | 76 |
| 13 | DE SCHROODER Benny | 61 |
| 14 | SUTHERLAND Rory | 75 |
| 16 | KLIMOV Sergey | 69 |
| 17 | LODA Nicola | 73 |
| 18 | ROESEMS Bert | 81 |
| 21 | VOSKAMP Bart | 75 |
| 24 | DE KORT Koen | 69 |
| 25 | DEKKERS Hans | 72 |
| 27 | GILING Bas | 72 |