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.
Tratnik
1
67 kgMezgec
2
72 kgPer
3
81 kgPibernik
4
60 kgRoglič
5
65 kgKump
6
68 kgMohorič
7
71 kgBajc
8
65 kgGolčer
9
66.5 kgPolanc
10
62 kgNovak
11
70 kgBožič
14
70 kgBrajkovič
15
60 kgGrošelj
16
62 kgPavlič
17
65 kgStrgar
18
62 kgMugerli
19
68 kgKorošec
20
75 kgPer
23
68 kgGrošelj
25
70 kgKatrašnik
27
69 kg
1
67 kgMezgec
2
72 kgPer
3
81 kgPibernik
4
60 kgRoglič
5
65 kgKump
6
68 kgMohorič
7
71 kgBajc
8
65 kgGolčer
9
66.5 kgPolanc
10
62 kgNovak
11
70 kgBožič
14
70 kgBrajkovič
15
60 kgGrošelj
16
62 kgPavlič
17
65 kgStrgar
18
62 kgMugerli
19
68 kgKorošec
20
75 kgPer
23
68 kgGrošelj
25
70 kgKatrašnik
27
69 kg
Weight (KG) →
Result →
81
60
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRATNIK Jan | 67 |
| 2 | MEZGEC Luka | 72 |
| 3 | PER David | 81 |
| 4 | PIBERNIK Luka | 60 |
| 5 | ROGLIČ Primož | 65 |
| 6 | KUMP Marko | 68 |
| 7 | MOHORIČ Matej | 71 |
| 8 | BAJC Andi | 65 |
| 9 | GOLČER Jure | 66.5 |
| 10 | POLANC Jan | 62 |
| 11 | NOVAK Domen | 70 |
| 14 | BOŽIČ Borut | 70 |
| 15 | BRAJKOVIČ Janez | 60 |
| 16 | GROŠELJ Žiga | 62 |
| 17 | PAVLIČ Marko | 65 |
| 18 | STRGAR Matic | 62 |
| 19 | MUGERLI Matej | 68 |
| 20 | KOROŠEC Rok | 75 |
| 23 | PER Gorazd | 68 |
| 25 | GROŠELJ Matic | 70 |
| 27 | KATRAŠNIK Gašper | 69 |