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 = 0.9 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Pogačar
1
66 kgRoglič
2
65 kgPolanc
3
62 kgBrajkovič
4
60 kgPavlič
5
65 kgNovak
6
70 kgTratnik
7
67 kgBole
8
69 kgHočevar
9
57 kgMugerli
11
68 kgPrimožič
12
60 kgRučigaj
13
68 kgKorošec
14
75 kgOmrzel
16
67 kgGrošelj
17
62 kgGrošelj
18
70 kgPrah
19
63 kgFinkšt
20
70 kgMurn
22
77 kgLavrič
23
64 kgSkok
28
73 kgHorvat
31
70 kgŠarc
38
72 kg
1
66 kgRoglič
2
65 kgPolanc
3
62 kgBrajkovič
4
60 kgPavlič
5
65 kgNovak
6
70 kgTratnik
7
67 kgBole
8
69 kgHočevar
9
57 kgMugerli
11
68 kgPrimožič
12
60 kgRučigaj
13
68 kgKorošec
14
75 kgOmrzel
16
67 kgGrošelj
17
62 kgGrošelj
18
70 kgPrah
19
63 kgFinkšt
20
70 kgMurn
22
77 kgLavrič
23
64 kgSkok
28
73 kgHorvat
31
70 kgŠarc
38
72 kg
Weight (KG) →
Result →
77
57
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POGAČAR Tadej | 66 |
| 2 | ROGLIČ Primož | 65 |
| 3 | POLANC Jan | 62 |
| 4 | BRAJKOVIČ Janez | 60 |
| 5 | PAVLIČ Marko | 65 |
| 6 | NOVAK Domen | 70 |
| 7 | TRATNIK Jan | 67 |
| 8 | BOLE Grega | 69 |
| 9 | HOČEVAR Kristjan | 57 |
| 11 | MUGERLI Matej | 68 |
| 12 | PRIMOŽIČ Jaka | 60 |
| 13 | RUČIGAJ Žiga | 68 |
| 14 | KOROŠEC Rok | 75 |
| 16 | OMRZEL Aljaž | 67 |
| 17 | GROŠELJ Žiga | 62 |
| 18 | GROŠELJ Matic | 70 |
| 19 | PRAH Aljaž | 63 |
| 20 | FINKŠT Tilen | 70 |
| 22 | MURN Boštjan | 77 |
| 23 | LAVRIČ Martin | 64 |
| 28 | SKOK Anže | 73 |
| 31 | HORVAT Žiga | 70 |
| 38 | ŠARC Leon | 72 |