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 = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Andriato
1
67 kgRamos
3
65 kgMonsalve
4
62 kgZangerle
5
63 kgSevilla
7
62 kgRibeiro
9
59 kgCésar Veloso
11
69 kgEyob
15
61 kgThill
16
73 kgPanizo
17
72 kgVilela
19
59 kgFernández
24
69 kgAffonso
27
63 kgGil Martinez
30
60 kgTedeschi
34
69 kgCecchinel
36
69 kgCaldeira
40
76 kgBraun
41
76 kgOkubamariam
43
60 kgWestmattelmann
45
75 kgNazaret
49
65 kgFonzi
53
63 kg
1
67 kgRamos
3
65 kgMonsalve
4
62 kgZangerle
5
63 kgSevilla
7
62 kgRibeiro
9
59 kgCésar Veloso
11
69 kgEyob
15
61 kgThill
16
73 kgPanizo
17
72 kgVilela
19
59 kgFernández
24
69 kgAffonso
27
63 kgGil Martinez
30
60 kgTedeschi
34
69 kgCecchinel
36
69 kgCaldeira
40
76 kgBraun
41
76 kgOkubamariam
43
60 kgWestmattelmann
45
75 kgNazaret
49
65 kgFonzi
53
63 kg
Weight (KG) →
Result →
76
59
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDRIATO Rafael | 67 |
| 3 | RAMOS Kléber | 65 |
| 4 | MONSALVE Yonathan | 62 |
| 5 | ZANGERLE Joel | 63 |
| 7 | SEVILLA Óscar | 62 |
| 9 | RIBEIRO Nuno | 59 |
| 11 | CÉSAR VELOSO Gustavo | 69 |
| 15 | EYOB Metkel | 61 |
| 16 | THILL Tom | 73 |
| 17 | PANIZO Gregolry | 72 |
| 19 | VILELA Ricardo | 59 |
| 24 | FERNÁNDEZ Delio | 69 |
| 27 | AFFONSO Murilo | 63 |
| 30 | GIL MARTINEZ Tomas Aurelio | 60 |
| 34 | TEDESCHI Mirko | 69 |
| 36 | CECCHINEL Giorgio | 69 |
| 40 | CALDEIRA Samuel José | 76 |
| 41 | BRAUN Julian | 76 |
| 43 | OKUBAMARIAM Tesfom | 60 |
| 45 | WESTMATTELMANN Daniel | 75 |
| 49 | NAZARET Magno | 65 |
| 53 | FONZI Giuseppe | 63 |