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 = 1.4 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Mahorič
1
68 kgKuschynski
2
65 kgStrgar
3
62 kgBrajkovič
5
60 kgKvasina
6
72 kgCarlström
9
70 kgLjungblad
10
70 kgEibegger
12
68 kgBole
23
69 kgBonča
24
63 kgKocjan
30
72 kgLiese
44
75 kgGoesinnen
52
75 kgJovanović
58
60 kgBenetseder
59
65 kgPichler
60
70 kgMol
63
83 kg
1
68 kgKuschynski
2
65 kgStrgar
3
62 kgBrajkovič
5
60 kgKvasina
6
72 kgCarlström
9
70 kgLjungblad
10
70 kgEibegger
12
68 kgBole
23
69 kgBonča
24
63 kgKocjan
30
72 kgLiese
44
75 kgGoesinnen
52
75 kgJovanović
58
60 kgBenetseder
59
65 kgPichler
60
70 kgMol
63
83 kg
Weight (KG) →
Result →
83
60
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 2 | KUSCHYNSKI Aleksandr | 65 |
| 3 | STRGAR Matic | 62 |
| 5 | BRAJKOVIČ Janez | 60 |
| 6 | KVASINA Matija | 72 |
| 9 | CARLSTRÖM Kjell | 70 |
| 10 | LJUNGBLAD Jonas | 70 |
| 12 | EIBEGGER Markus | 68 |
| 23 | BOLE Grega | 69 |
| 24 | BONČA Valter | 63 |
| 30 | KOCJAN Jure | 72 |
| 44 | LIESE Thomas | 75 |
| 52 | GOESINNEN Floris | 75 |
| 58 | JOVANOVIĆ Nebojša | 60 |
| 59 | BENETSEDER Josef | 65 |
| 60 | PICHLER Michael | 70 |
| 63 | MOL Wouter | 83 |