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 = 0.4 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Tonkov
1
70 kgRebellin
3
63 kgGuerini
5
65 kgShefer
6
68 kgSgambelluri
8
63 kgPiepoli
9
54 kgBettini
11
58 kgSerpellini
12
75 kgMagnani
19
64 kgMerckx
21
77 kgAtienza
23
60 kgZanette
25
82 kgMazzanti
27
64 kgMazzoleni
32
67 kgTosatto
36
74 kgUgrumov
38
58 kgSimeoni
39
68 kgIvanov
41
71 kgFerrari
42
74 kgValoti
47
64 kgZanetti
55
66 kgMoos
65
64 kgJaksche
66
69 kg
1
70 kgRebellin
3
63 kgGuerini
5
65 kgShefer
6
68 kgSgambelluri
8
63 kgPiepoli
9
54 kgBettini
11
58 kgSerpellini
12
75 kgMagnani
19
64 kgMerckx
21
77 kgAtienza
23
60 kgZanette
25
82 kgMazzanti
27
64 kgMazzoleni
32
67 kgTosatto
36
74 kgUgrumov
38
58 kgSimeoni
39
68 kgIvanov
41
71 kgFerrari
42
74 kgValoti
47
64 kgZanetti
55
66 kgMoos
65
64 kgJaksche
66
69 kg
Weight (KG) →
Result →
82
54
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONKOV Pavel | 70 |
| 3 | REBELLIN Davide | 63 |
| 5 | GUERINI Giuseppe | 65 |
| 6 | SHEFER Alexandre | 68 |
| 8 | SGAMBELLURI Roberto | 63 |
| 9 | PIEPOLI Leonardo | 54 |
| 11 | BETTINI Paolo | 58 |
| 12 | SERPELLINI Marco | 75 |
| 19 | MAGNANI Marco | 64 |
| 21 | MERCKX Axel | 77 |
| 23 | ATIENZA Daniel | 60 |
| 25 | ZANETTE Denis | 82 |
| 27 | MAZZANTI Luca | 64 |
| 32 | MAZZOLENI Eddy | 67 |
| 36 | TOSATTO Matteo | 74 |
| 38 | UGRUMOV Piotr | 58 |
| 39 | SIMEONI Filippo | 68 |
| 41 | IVANOV Ruslan | 71 |
| 42 | FERRARI Diego | 74 |
| 47 | VALOTI Paolo | 64 |
| 55 | ZANETTI Mauro | 66 |
| 65 | MOOS Alexandre | 64 |
| 66 | JAKSCHE Jörg | 69 |