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 = 1.7 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Strgar
3
62 kgBole
8
69 kgKuschynski
9
65 kgKvasina
16
72 kgKocjan
18
72 kgEibegger
19
68 kgLjungblad
21
70 kgCarlström
29
70 kgMahorič
31
68 kgBrajkovič
35
60 kgJovanović
43
60 kgBonča
46
63 kgBenetseder
51
65 kgPichler
56
70 kgGoesinnen
60
75 kgLiese
70
75 kgMol
75
83 kg
3
62 kgBole
8
69 kgKuschynski
9
65 kgKvasina
16
72 kgKocjan
18
72 kgEibegger
19
68 kgLjungblad
21
70 kgCarlström
29
70 kgMahorič
31
68 kgBrajkovič
35
60 kgJovanović
43
60 kgBonča
46
63 kgBenetseder
51
65 kgPichler
56
70 kgGoesinnen
60
75 kgLiese
70
75 kgMol
75
83 kg
Weight (KG) →
Result →
83
60
3
75
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | STRGAR Matic | 62 |
| 8 | BOLE Grega | 69 |
| 9 | KUSCHYNSKI Aleksandr | 65 |
| 16 | KVASINA Matija | 72 |
| 18 | KOCJAN Jure | 72 |
| 19 | EIBEGGER Markus | 68 |
| 21 | LJUNGBLAD Jonas | 70 |
| 29 | CARLSTRÖM Kjell | 70 |
| 31 | MAHORIČ Mitja | 68 |
| 35 | BRAJKOVIČ Janez | 60 |
| 43 | JOVANOVIĆ Nebojša | 60 |
| 46 | BONČA Valter | 63 |
| 51 | BENETSEDER Josef | 65 |
| 56 | PICHLER Michael | 70 |
| 60 | GOESINNEN Floris | 75 |
| 70 | LIESE Thomas | 75 |
| 75 | MOL Wouter | 83 |