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 = -0.2 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Guerra
1
77 kgCamusso
2
66 kgCazzulani
3
82 kgGotti
5
72 kgBertoni
6
65 kgPiemontesi
7
80 kgVignoli
8
72 kgGiacobbe
9
74 kgDemuysere
11
78 kgScorticati
13
68 kgTeani
17
70 kgOrecchia
18
62 kgMorelli
19
78 kgBattesini
22
80 kgMeini
27
74 kgVervaecke
30
68 kgTrueba
37
58 kgPancera
39
69 kgGalateau
42
76 kgSalazard
44
74 kgSieronski
45
78 kgBulla
47
75 kg
1
77 kgCamusso
2
66 kgCazzulani
3
82 kgGotti
5
72 kgBertoni
6
65 kgPiemontesi
7
80 kgVignoli
8
72 kgGiacobbe
9
74 kgDemuysere
11
78 kgScorticati
13
68 kgTeani
17
70 kgOrecchia
18
62 kgMorelli
19
78 kgBattesini
22
80 kgMeini
27
74 kgVervaecke
30
68 kgTrueba
37
58 kgPancera
39
69 kgGalateau
42
76 kgSalazard
44
74 kgSieronski
45
78 kgBulla
47
75 kg
Weight (KG) →
Result →
82
58
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUERRA Learco | 77 |
| 2 | CAMUSSO Francesco | 66 |
| 3 | CAZZULANI Giovanni | 82 |
| 5 | GOTTI Giovanni | 72 |
| 6 | BERTONI Remo | 65 |
| 7 | PIEMONTESI Domenico | 80 |
| 8 | VIGNOLI Adriano | 72 |
| 9 | GIACOBBE Luigi | 74 |
| 11 | DEMUYSERE Joseph | 78 |
| 13 | SCORTICATI Renato | 68 |
| 17 | TEANI Orlando | 70 |
| 18 | ORECCHIA Michele | 62 |
| 19 | MORELLI Ambrogio Enrico | 78 |
| 22 | BATTESINI Fabio | 80 |
| 27 | MEINI Ettore | 74 |
| 30 | VERVAECKE Félicien | 68 |
| 37 | TRUEBA Vicente | 58 |
| 39 | PANCERA Giuseppe | 69 |
| 42 | GALATEAU Fabien | 76 |
| 44 | SALAZARD Vincent | 74 |
| 45 | SIERONSKI Herbert | 78 |
| 47 | BULLA Max | 75 |