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 = -5 * weight + 386
This means that on average for every extra kilogram weight a rider loses -5 positions in the result.
Minali
1
74 kgFedrigo
2
76 kgStrakhov
5
70 kgMoschetti
12
73 kgMüller
14
74 kgViel
18
72 kgCavanagh
29
72 kgRota
34
62 kgGhebreindrias
39
68 kgWang
41
73 kgPower
43
68 kgDeruette
44
70 kgRučigaj
45
68 kgRavanelli
56
66 kgGaravaglia
58
65 kgBagioli
59
64 kgGregaard
95
66 kgDebenedetti
116
56 kg
1
74 kgFedrigo
2
76 kgStrakhov
5
70 kgMoschetti
12
73 kgMüller
14
74 kgViel
18
72 kgCavanagh
29
72 kgRota
34
62 kgGhebreindrias
39
68 kgWang
41
73 kgPower
43
68 kgDeruette
44
70 kgRučigaj
45
68 kgRavanelli
56
66 kgGaravaglia
58
65 kgBagioli
59
64 kgGregaard
95
66 kgDebenedetti
116
56 kg
Weight (KG) →
Result →
76
56
1
116
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MINALI Riccardo | 74 |
| 2 | FEDRIGO Leonardo | 76 |
| 5 | STRAKHOV Dmitry | 70 |
| 12 | MOSCHETTI Matteo | 73 |
| 14 | MÜLLER Patrick | 74 |
| 18 | VIEL Mattia | 72 |
| 29 | CAVANAGH Ryan | 72 |
| 34 | ROTA Lorenzo | 62 |
| 39 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 41 | WANG Emil | 73 |
| 43 | POWER Robert | 68 |
| 44 | DERUETTE Thomas | 70 |
| 45 | RUČIGAJ Žiga | 68 |
| 56 | RAVANELLI Simone | 66 |
| 58 | GARAVAGLIA Giacomo | 65 |
| 59 | BAGIOLI Nicola | 64 |
| 95 | GREGAARD Jonas | 66 |
| 116 | DEBENEDETTI Davide | 56 |