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 = 0.7 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Elli
1
71 kgCasagrande
5
64 kgRebellin
6
63 kgFondriest
7
70 kgBonča
10
63 kgSørensen
11
70 kgShefer
12
68 kgCenghialta
14
73 kgDonati
15
75 kgZanini
19
80 kgZberg
20
72 kgLeoni
21
74 kgTafi
29
73 kgGuerini
30
65 kgTeteriouk
31
72 kgBortolami
33
73 kgBartoli
36
65 kgBallerini
37
78 kg
1
71 kgCasagrande
5
64 kgRebellin
6
63 kgFondriest
7
70 kgBonča
10
63 kgSørensen
11
70 kgShefer
12
68 kgCenghialta
14
73 kgDonati
15
75 kgZanini
19
80 kgZberg
20
72 kgLeoni
21
74 kgTafi
29
73 kgGuerini
30
65 kgTeteriouk
31
72 kgBortolami
33
73 kgBartoli
36
65 kgBallerini
37
78 kg
Weight (KG) →
Result →
80
63
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLI Alberto | 71 |
| 5 | CASAGRANDE Francesco | 64 |
| 6 | REBELLIN Davide | 63 |
| 7 | FONDRIEST Maurizio | 70 |
| 10 | BONČA Valter | 63 |
| 11 | SØRENSEN Rolf | 70 |
| 12 | SHEFER Alexandre | 68 |
| 14 | CENGHIALTA Bruno | 73 |
| 15 | DONATI Massimo | 75 |
| 19 | ZANINI Stefano | 80 |
| 20 | ZBERG Beat | 72 |
| 21 | LEONI Endrio | 74 |
| 29 | TAFI Andrea | 73 |
| 30 | GUERINI Giuseppe | 65 |
| 31 | TETERIOUK Andrei | 72 |
| 33 | BORTOLAMI Gianluca | 73 |
| 36 | BARTOLI Michele | 65 |
| 37 | BALLERINI Franco | 78 |