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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Schmid
1
70 kgHealy
2
65 kgPozzovivo
3
53 kgShaw
4
63 kgQuinn
5
67 kgCavagna
6
78 kgGuerin
7
65 kgPadun
9
67 kgEngelhardt
10
68 kgTesfatsion
11
60 kgPluimers
12
67 kgStaune-Mittet
13
67 kgBrambilla
15
57 kgScaroni
16
63 kgGabburo
17
63 kgLipowitz
18
68 kgVader
19
63 kgStewart
20
70 kg
1
70 kgHealy
2
65 kgPozzovivo
3
53 kgShaw
4
63 kgQuinn
5
67 kgCavagna
6
78 kgGuerin
7
65 kgPadun
9
67 kgEngelhardt
10
68 kgTesfatsion
11
60 kgPluimers
12
67 kgStaune-Mittet
13
67 kgBrambilla
15
57 kgScaroni
16
63 kgGabburo
17
63 kgLipowitz
18
68 kgVader
19
63 kgStewart
20
70 kg
Weight (KG) →
Result →
78
53
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMID Mauro | 70 |
| 2 | HEALY Ben | 65 |
| 3 | POZZOVIVO Domenico | 53 |
| 4 | SHAW James | 63 |
| 5 | QUINN Sean | 67 |
| 6 | CAVAGNA Rémi | 78 |
| 7 | GUERIN Alexis | 65 |
| 9 | PADUN Mark | 67 |
| 10 | ENGELHARDT Felix | 68 |
| 11 | TESFATSION Natnael | 60 |
| 12 | PLUIMERS Rick | 67 |
| 13 | STAUNE-MITTET Johannes | 67 |
| 15 | BRAMBILLA Gianluca | 57 |
| 16 | SCARONI Christian | 63 |
| 17 | GABBURO Davide | 63 |
| 18 | LIPOWITZ Florian | 68 |
| 19 | VADER Milan | 63 |
| 20 | STEWART Mark | 70 |