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 = 0.8 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Andriato
2
67 kgMonsalve
3
62 kgAffonso
4
63 kgSevilla
5
62 kgRamos
7
65 kgPanizo
8
72 kgCésar Veloso
9
69 kgCaldeira
10
76 kgRibeiro
13
59 kgVilela
19
59 kgThill
22
73 kgTedeschi
27
69 kgNazaret
29
65 kgCecchinel
30
69 kgOkubamariam
32
60 kgEyob
33
61 kgFernández
37
69 kgFonzi
42
63 kgZangerle
45
63 kgGil Martinez
48
60 kgWestmattelmann
57
75 kgBraun
58
76 kgNicácio
62
72 kg
2
67 kgMonsalve
3
62 kgAffonso
4
63 kgSevilla
5
62 kgRamos
7
65 kgPanizo
8
72 kgCésar Veloso
9
69 kgCaldeira
10
76 kgRibeiro
13
59 kgVilela
19
59 kgThill
22
73 kgTedeschi
27
69 kgNazaret
29
65 kgCecchinel
30
69 kgOkubamariam
32
60 kgEyob
33
61 kgFernández
37
69 kgFonzi
42
63 kgZangerle
45
63 kgGil Martinez
48
60 kgWestmattelmann
57
75 kgBraun
58
76 kgNicácio
62
72 kg
Weight (KG) →
Result →
76
59
2
62
# | Rider | Weight (KG) |
---|---|---|
2 | ANDRIATO Rafael | 67 |
3 | MONSALVE Yonathan | 62 |
4 | AFFONSO Murilo | 63 |
5 | SEVILLA Óscar | 62 |
7 | RAMOS Kléber | 65 |
8 | PANIZO Gregolry | 72 |
9 | CÉSAR VELOSO Gustavo | 69 |
10 | CALDEIRA Samuel José | 76 |
13 | RIBEIRO Nuno | 59 |
19 | VILELA Ricardo | 59 |
22 | THILL Tom | 73 |
27 | TEDESCHI Mirko | 69 |
29 | NAZARET Magno | 65 |
30 | CECCHINEL Giorgio | 69 |
32 | OKUBAMARIAM Tesfom | 60 |
33 | EYOB Metkel | 61 |
37 | FERNÁNDEZ Delio | 69 |
42 | FONZI Giuseppe | 63 |
45 | ZANGERLE Joel | 63 |
48 | GIL MARTINEZ Tomas Aurelio | 60 |
57 | WESTMATTELMANN Daniel | 75 |
58 | BRAUN Julian | 76 |
62 | NICÁCIO Pedro | 72 |