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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rodríguez
1
58 kgSamoilau
2
77 kgHollenstein
3
80 kgKišerlovski
4
72 kgMasciarelli
5
55 kgBonnafond
6
68 kgKönig
7
62 kgGarcia
8
55 kgStortoni
10
59 kgBisolti
11
58 kgBrändle
13
80 kgSonnery
14
60 kgKireyev
15
66 kgFrapporti
16
69 kgZeits
17
73 kgTaborre
18
66 kgSchoffmann
20
67 kgKadri
22
66 kgGrabovskyy
24
69 kgThomas
28
71 kg
1
58 kgSamoilau
2
77 kgHollenstein
3
80 kgKišerlovski
4
72 kgMasciarelli
5
55 kgBonnafond
6
68 kgKönig
7
62 kgGarcia
8
55 kgStortoni
10
59 kgBisolti
11
58 kgBrändle
13
80 kgSonnery
14
60 kgKireyev
15
66 kgFrapporti
16
69 kgZeits
17
73 kgTaborre
18
66 kgSchoffmann
20
67 kgKadri
22
66 kgGrabovskyy
24
69 kgThomas
28
71 kg
Weight (KG) →
Result →
80
55
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Jackson | 58 |
| 2 | SAMOILAU Branislau | 77 |
| 3 | HOLLENSTEIN Reto | 80 |
| 4 | KIŠERLOVSKI Robert | 72 |
| 5 | MASCIARELLI Francesco | 55 |
| 6 | BONNAFOND Guillaume | 68 |
| 7 | KÖNIG Leopold | 62 |
| 8 | GARCIA Marcos | 55 |
| 10 | STORTONI Simone | 59 |
| 11 | BISOLTI Alessandro | 58 |
| 13 | BRÄNDLE Matthias | 80 |
| 14 | SONNERY Blaise | 60 |
| 15 | KIREYEV Roman | 66 |
| 16 | FRAPPORTI Marco | 69 |
| 17 | ZEITS Andrey | 73 |
| 18 | TABORRE Fabio | 66 |
| 20 | SCHOFFMANN Martin | 67 |
| 22 | KADRI Blel | 66 |
| 24 | GRABOVSKYY Dmytro | 69 |
| 28 | THOMAS Geraint | 71 |