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 - 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Gatto
3
67 kgSchwab
5
65 kgFerrara
8
60 kgRubiano
10
58 kgKvasina
11
72 kgOss
13
75 kgKump
14
68 kgKönig
15
62 kgStrgar
16
62 kgKochetkov
17
70 kgBelkov
19
71 kgBajc
20
65 kgRogina
21
70 kgMahorič
25
68 kgKoren
29
72 kgFinetto
30
62 kgCimolai
34
70 kgKocjan
36
72 kgBellotti
37
65 kgJarc
38
87 kgStević
40
66 kgĐurasek
41
56 kgMurn
44
70 kg
3
67 kgSchwab
5
65 kgFerrara
8
60 kgRubiano
10
58 kgKvasina
11
72 kgOss
13
75 kgKump
14
68 kgKönig
15
62 kgStrgar
16
62 kgKochetkov
17
70 kgBelkov
19
71 kgBajc
20
65 kgRogina
21
70 kgMahorič
25
68 kgKoren
29
72 kgFinetto
30
62 kgCimolai
34
70 kgKocjan
36
72 kgBellotti
37
65 kgJarc
38
87 kgStević
40
66 kgĐurasek
41
56 kgMurn
44
70 kg
Weight (KG) →
Result →
87
56
3
44
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GATTO Oscar | 67 |
| 5 | SCHWAB Hubert | 65 |
| 8 | FERRARA Raffaele | 60 |
| 10 | RUBIANO Miguel Angel | 58 |
| 11 | KVASINA Matija | 72 |
| 13 | OSS Daniel | 75 |
| 14 | KUMP Marko | 68 |
| 15 | KÖNIG Leopold | 62 |
| 16 | STRGAR Matic | 62 |
| 17 | KOCHETKOV Pavel | 70 |
| 19 | BELKOV Maxim | 71 |
| 20 | BAJC Andi | 65 |
| 21 | ROGINA Radoslav | 70 |
| 25 | MAHORIČ Mitja | 68 |
| 29 | KOREN Kristijan | 72 |
| 30 | FINETTO Mauro | 62 |
| 34 | CIMOLAI Davide | 70 |
| 36 | KOCJAN Jure | 72 |
| 37 | BELLOTTI Francesco | 65 |
| 38 | JARC Blaž | 87 |
| 40 | STEVIĆ Ivan | 66 |
| 41 | ĐURASEK Kristijan | 56 |
| 44 | MURN Uroš | 70 |