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 = -2.5 * weight + 199
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Andresen
1
69 kgWang
2
70 kgKretschy
3
63 kgKjeldsen
6
69 kgRosenlund
7
72 kgMaček
8
73 kgRomele
10
71 kgMarbler
12
75 kgOioli
13
65 kgŠiroký
16
80 kgKerschbaumer
28
68 kgHofbauer
29
70 kgCvjetičanin
38
75 kgLond
39
65 kgĆatović
41
62 kgKovar
42
65 kgLube
47
63 kgDivnić
48
64 kgPiskule
54
56 kgHribar
63
60 kgObdržálek
66
65 kgKovač
68
65 kgPiciu
77
64 kg
1
69 kgWang
2
70 kgKretschy
3
63 kgKjeldsen
6
69 kgRosenlund
7
72 kgMaček
8
73 kgRomele
10
71 kgMarbler
12
75 kgOioli
13
65 kgŠiroký
16
80 kgKerschbaumer
28
68 kgHofbauer
29
70 kgCvjetičanin
38
75 kgLond
39
65 kgĆatović
41
62 kgKovar
42
65 kgLube
47
63 kgDivnić
48
64 kgPiskule
54
56 kgHribar
63
60 kgObdržálek
66
65 kgKovač
68
65 kgPiciu
77
64 kg
Weight (KG) →
Result →
80
56
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDRESEN Tobias Lund | 69 |
| 2 | WANG Gustav | 70 |
| 3 | KRETSCHY Moritz | 63 |
| 6 | KJELDSEN Christian Spang | 69 |
| 7 | ROSENLUND Stian | 72 |
| 8 | MAČEK Matic | 73 |
| 10 | ROMELE Alessandro | 71 |
| 12 | MARBLER Stefan | 75 |
| 13 | OIOLI Manuel | 65 |
| 16 | ŠIROKÝ Štěpán | 80 |
| 28 | KERSCHBAUMER Leo | 68 |
| 29 | HOFBAUER Philipp | 70 |
| 38 | CVJETIČANIN Maks | 75 |
| 39 | LOND Daniel | 65 |
| 41 | ĆATOVIĆ Nermin | 62 |
| 42 | KOVAR Stefan | 65 |
| 47 | LUBE Bernhard | 63 |
| 48 | DIVNIĆ Jovan | 64 |
| 54 | PISKULE Žiga | 56 |
| 63 | HRIBAR Jernej | 60 |
| 66 | OBDRŽÁLEK Tomáš | 65 |
| 68 | KOVAČ Štefan | 65 |
| 77 | PICIU Mattew-Denis | 64 |