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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Novak
1
70 kgKatrašnik
2
69 kgKump
3
68 kgRoglič
4
65 kgMohorič
5
71 kgPibernik
6
60 kgPogačar
7
66 kgGrošelj
8
70 kgBrajkovič
9
60 kgBole
10
69 kgTratnik
11
67 kgJarc
12
75 kgPrimožič
14
60 kgLavrič
17
64 kgFinkšt
18
70 kgKorošec
19
75 kgPrah
21
63 kgHorvat
23
70 kgRučigaj
26
68 kgGrošelj
27
62 kg
1
70 kgKatrašnik
2
69 kgKump
3
68 kgRoglič
4
65 kgMohorič
5
71 kgPibernik
6
60 kgPogačar
7
66 kgGrošelj
8
70 kgBrajkovič
9
60 kgBole
10
69 kgTratnik
11
67 kgJarc
12
75 kgPrimožič
14
60 kgLavrič
17
64 kgFinkšt
18
70 kgKorošec
19
75 kgPrah
21
63 kgHorvat
23
70 kgRučigaj
26
68 kgGrošelj
27
62 kg
Weight (KG) →
Result →
75
60
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAK Domen | 70 |
| 2 | KATRAŠNIK Gašper | 69 |
| 3 | KUMP Marko | 68 |
| 4 | ROGLIČ Primož | 65 |
| 5 | MOHORIČ Matej | 71 |
| 6 | PIBERNIK Luka | 60 |
| 7 | POGAČAR Tadej | 66 |
| 8 | GROŠELJ Matic | 70 |
| 9 | BRAJKOVIČ Janez | 60 |
| 10 | BOLE Grega | 69 |
| 11 | TRATNIK Jan | 67 |
| 12 | JARC Aljaž | 75 |
| 14 | PRIMOŽIČ Jaka | 60 |
| 17 | LAVRIČ Martin | 64 |
| 18 | FINKŠT Tilen | 70 |
| 19 | KOROŠEC Rok | 75 |
| 21 | PRAH Aljaž | 63 |
| 23 | HORVAT Žiga | 70 |
| 26 | RUČIGAJ Žiga | 68 |
| 27 | GROŠELJ Žiga | 62 |