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 - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Zülle
1
72 kgJalabert
2
66 kgOlano
3
70 kgBugno
4
68 kgBartoli
5
65 kgBruyneel
6
71 kgEkimov
7
69 kgUshakov
8
73 kgRebellin
9
63 kgColombo
10
70 kgLelli
11
69 kgGarmendia
13
68 kgHeulot
14
69 kgSørensen
16
70 kgZanini
17
80 kgZberg
18
72 kgMauri
19
68 kgCipollini
20
77 kg
1
72 kgJalabert
2
66 kgOlano
3
70 kgBugno
4
68 kgBartoli
5
65 kgBruyneel
6
71 kgEkimov
7
69 kgUshakov
8
73 kgRebellin
9
63 kgColombo
10
70 kgLelli
11
69 kgGarmendia
13
68 kgHeulot
14
69 kgSørensen
16
70 kgZanini
17
80 kgZberg
18
72 kgMauri
19
68 kgCipollini
20
77 kg
Weight (KG) →
Result →
80
63
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 2 | JALABERT Laurent | 66 |
| 3 | OLANO Abraham | 70 |
| 4 | BUGNO Gianni | 68 |
| 5 | BARTOLI Michele | 65 |
| 6 | BRUYNEEL Johan | 71 |
| 7 | EKIMOV Viatcheslav | 69 |
| 8 | USHAKOV Serhiy | 73 |
| 9 | REBELLIN Davide | 63 |
| 10 | COLOMBO Gabriele | 70 |
| 11 | LELLI Massimiliano | 69 |
| 13 | GARMENDIA Aitor | 68 |
| 14 | HEULOT Stéphane | 69 |
| 16 | SØRENSEN Rolf | 70 |
| 17 | ZANINI Stefano | 80 |
| 18 | ZBERG Beat | 72 |
| 19 | MAURI Melchor | 68 |
| 20 | CIPOLLINI Mario | 77 |