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 = 1.3 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Brenner
1
59 kgChristen
2
60 kgRiccitello
3
55 kgMatthys
4
62 kgvan der Meulen
7
67 kgUmba
13
58 kgRaccani
16
64 kgMartín
19
60 kgVinokurov
21
65 kgGranger
23
71 kgSerrano
30
60 kgRaimondi
33
60 kgToneatti
35
65 kgGaribbo
36
57 kgLock
37
58 kgDe Cassan
38
61 kgMontoli
42
66 kgDe Carlo
43
67 kgBental
44
57 kgRomele
50
71 kgBerasi
51
65 kgTene
54
72 kgPozza
57
61 kg
1
59 kgChristen
2
60 kgRiccitello
3
55 kgMatthys
4
62 kgvan der Meulen
7
67 kgUmba
13
58 kgRaccani
16
64 kgMartín
19
60 kgVinokurov
21
65 kgGranger
23
71 kgSerrano
30
60 kgRaimondi
33
60 kgToneatti
35
65 kgGaribbo
36
57 kgLock
37
58 kgDe Cassan
38
61 kgMontoli
42
66 kgDe Carlo
43
67 kgBental
44
57 kgRomele
50
71 kgBerasi
51
65 kgTene
54
72 kgPozza
57
61 kg
Weight (KG) →
Result →
72
55
1
57
# | Rider | Weight (KG) |
---|---|---|
1 | BRENNER Marco | 59 |
2 | CHRISTEN Jan | 60 |
3 | RICCITELLO Matthew | 55 |
4 | MATTHYS Louka | 62 |
7 | VAN DER MEULEN Max | 67 |
13 | UMBA Santiago | 58 |
16 | RACCANI Simone | 64 |
19 | MARTÍN Alex | 60 |
21 | VINOKUROV Nicolas | 65 |
23 | GRANGER Ben | 71 |
30 | SERRANO Javier | 60 |
33 | RAIMONDI Alex | 60 |
35 | TONEATTI Davide | 65 |
36 | GARIBBO Nicolò | 57 |
37 | LOCK Dennis | 58 |
38 | DE CASSAN Davide | 61 |
42 | MONTOLI Andrea | 66 |
43 | DE CARLO Giovanni | 67 |
44 | BENTAL Aviv | 57 |
50 | ROMELE Alessandro | 71 |
51 | BERASI Michele | 65 |
54 | TENE Rotem | 72 |
57 | POZZA Ettore | 61 |