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 = 0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Priamo
2
72 kgBates
3
61 kgDa Dalto
5
72 kgDall'Antonia
6
70 kgKocjan
7
72 kgBrajkovič
8
60 kgKunitski
15
72 kgBožič
18
70 kgKišerlovski
25
72 kgŠpilak
26
68 kgBandiera
27
68 kgRaboň
33
74 kgJovanović
38
60 kgRiška
45
73 kgDe Marchi
46
65 kgEibegger
49
68 kgMarin
55
67 kgGazvoda
56
72 kg
2
72 kgBates
3
61 kgDa Dalto
5
72 kgDall'Antonia
6
70 kgKocjan
7
72 kgBrajkovič
8
60 kgKunitski
15
72 kgBožič
18
70 kgKišerlovski
25
72 kgŠpilak
26
68 kgBandiera
27
68 kgRaboň
33
74 kgJovanović
38
60 kgRiška
45
73 kgDe Marchi
46
65 kgEibegger
49
68 kgMarin
55
67 kgGazvoda
56
72 kg
Weight (KG) →
Result →
74
60
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRIAMO Matteo | 72 |
| 3 | BATES Gene | 61 |
| 5 | DA DALTO Mauro | 72 |
| 6 | DALL'ANTONIA Tiziano | 70 |
| 7 | KOCJAN Jure | 72 |
| 8 | BRAJKOVIČ Janez | 60 |
| 15 | KUNITSKI Andrei | 72 |
| 18 | BOŽIČ Borut | 70 |
| 25 | KIŠERLOVSKI Robert | 72 |
| 26 | ŠPILAK Simon | 68 |
| 27 | BANDIERA Marco | 68 |
| 33 | RABOŇ František | 74 |
| 38 | JOVANOVIĆ Nebojša | 60 |
| 45 | RIŠKA Martin | 73 |
| 46 | DE MARCHI Alessandro | 65 |
| 49 | EIBEGGER Markus | 68 |
| 55 | MARIN Matej | 67 |
| 56 | GAZVODA Gregor | 72 |