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 = 1.3 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Mahorič
1
68 kgBonča
2
63 kgStrgar
3
62 kgCarlström
19
70 kgLjungblad
20
70 kgMol
21
83 kgBrajkovič
22
60 kgKuschynski
29
65 kgKocjan
32
72 kgKvasina
35
72 kgEibegger
40
68 kgGoesinnen
41
75 kgBenetseder
52
65 kgBole
54
69 kgJovanović
56
60 kgLampater
60
75 kgLiese
61
75 kgPichler
70
70 kgTeutenberg
71
66 kgBengsch
85
85 kg
1
68 kgBonča
2
63 kgStrgar
3
62 kgCarlström
19
70 kgLjungblad
20
70 kgMol
21
83 kgBrajkovič
22
60 kgKuschynski
29
65 kgKocjan
32
72 kgKvasina
35
72 kgEibegger
40
68 kgGoesinnen
41
75 kgBenetseder
52
65 kgBole
54
69 kgJovanović
56
60 kgLampater
60
75 kgLiese
61
75 kgPichler
70
70 kgTeutenberg
71
66 kgBengsch
85
85 kg
Weight (KG) →
Result →
85
60
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 2 | BONČA Valter | 63 |
| 3 | STRGAR Matic | 62 |
| 19 | CARLSTRÖM Kjell | 70 |
| 20 | LJUNGBLAD Jonas | 70 |
| 21 | MOL Wouter | 83 |
| 22 | BRAJKOVIČ Janez | 60 |
| 29 | KUSCHYNSKI Aleksandr | 65 |
| 32 | KOCJAN Jure | 72 |
| 35 | KVASINA Matija | 72 |
| 40 | EIBEGGER Markus | 68 |
| 41 | GOESINNEN Floris | 75 |
| 52 | BENETSEDER Josef | 65 |
| 54 | BOLE Grega | 69 |
| 56 | JOVANOVIĆ Nebojša | 60 |
| 60 | LAMPATER Leif | 75 |
| 61 | LIESE Thomas | 75 |
| 70 | PICHLER Michael | 70 |
| 71 | TEUTENBERG Sven | 66 |
| 85 | BENGSCH Robert | 85 |