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 + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Vingegaard
1
58 kgde la Cruz
2
66 kgDíaz
3
64 kgMartinez
4
52 kgBernal
7
60 kgCarthy
8
69 kgFigueiredo
9
56 kgKelderman
10
65 kgCastrillo
11
74 kgFagúndez
12
67 kgMolenaar
13
63 kgCepeda
14
61 kgCarapaz
15
62 kgRomo
16
70 kgLangellotti
17
64 kgAntunes
18
55 kgGaudu
19
53 kgSilva
21
66 kg
1
58 kgde la Cruz
2
66 kgDíaz
3
64 kgMartinez
4
52 kgBernal
7
60 kgCarthy
8
69 kgFigueiredo
9
56 kgKelderman
10
65 kgCastrillo
11
74 kgFagúndez
12
67 kgMolenaar
13
63 kgCepeda
14
61 kgCarapaz
15
62 kgRomo
16
70 kgLangellotti
17
64 kgAntunes
18
55 kgGaudu
19
53 kgSilva
21
66 kg
Weight (KG) →
Result →
74
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINGEGAARD Jonas | 58 |
| 2 | DE LA CRUZ David | 66 |
| 3 | DÍAZ José Manuel | 64 |
| 4 | MARTINEZ Lenny | 52 |
| 7 | BERNAL Egan | 60 |
| 8 | CARTHY Hugh | 69 |
| 9 | FIGUEIREDO Frederico | 56 |
| 10 | KELDERMAN Wilco | 65 |
| 11 | CASTRILLO Pablo | 74 |
| 12 | FAGÚNDEZ Eric Antonio | 67 |
| 13 | MOLENAAR Alex | 63 |
| 14 | CEPEDA Jefferson Alveiro | 61 |
| 15 | CARAPAZ Richard | 62 |
| 16 | ROMO Javier | 70 |
| 17 | LANGELLOTTI Victor | 64 |
| 18 | ANTUNES Tiago | 55 |
| 19 | GAUDU David | 53 |
| 21 | SILVA Joaquim | 66 |