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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Leknessund
1
72 kgWilliams
2
59 kgSimmons
3
73 kgSchachmann
4
71 kgBettiol
5
69 kgMatthews
6
72 kgKron
7
63 kgHirschi
8
61 kgPasqualon
9
75 kgBurgaudeau
10
61 kgHolmes
11
67 kgPedersen
12
71 kgHaga
13
71.5 kgAskey
14
75 kgJacobs
15
78 kgLutsenko
16
74 kgTrentin
17
74 kgVitzthum
18
70 kg
1
72 kgWilliams
2
59 kgSimmons
3
73 kgSchachmann
4
71 kgBettiol
5
69 kgMatthews
6
72 kgKron
7
63 kgHirschi
8
61 kgPasqualon
9
75 kgBurgaudeau
10
61 kgHolmes
11
67 kgPedersen
12
71 kgHaga
13
71.5 kgAskey
14
75 kgJacobs
15
78 kgLutsenko
16
74 kgTrentin
17
74 kgVitzthum
18
70 kg
Weight (KG) →
Result →
78
59
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEKNESSUND Andreas | 72 |
| 2 | WILLIAMS Stephen | 59 |
| 3 | SIMMONS Quinn | 73 |
| 4 | SCHACHMANN Maximilian | 71 |
| 5 | BETTIOL Alberto | 69 |
| 6 | MATTHEWS Michael | 72 |
| 7 | KRON Andreas | 63 |
| 8 | HIRSCHI Marc | 61 |
| 9 | PASQUALON Andrea | 75 |
| 10 | BURGAUDEAU Mathieu | 61 |
| 11 | HOLMES Matthew | 67 |
| 12 | PEDERSEN Casper | 71 |
| 13 | HAGA Chad | 71.5 |
| 14 | ASKEY Lewis | 75 |
| 15 | JACOBS Johan | 78 |
| 16 | LUTSENKO Alexey | 74 |
| 17 | TRENTIN Matteo | 74 |
| 18 | VITZTHUM Simon | 70 |