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 - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Guidi
1
73 kgCasagrande
2
64 kgOdriozola
5
70 kgVirenque
6
65 kgCamenzind
7
62 kgChiappucci
8
67 kgDonati
11
75 kgHervé
12
62 kgBrochard
14
68 kgOlano
16
70 kgBruyneel
22
71 kgLelli
25
69 kgPiccoli
27
64 kgHvastija
28
75 kgBallerini
30
78 kgBugno
35
68 kgElli
38
71 kgRichard
39
67 kg
1
73 kgCasagrande
2
64 kgOdriozola
5
70 kgVirenque
6
65 kgCamenzind
7
62 kgChiappucci
8
67 kgDonati
11
75 kgHervé
12
62 kgBrochard
14
68 kgOlano
16
70 kgBruyneel
22
71 kgLelli
25
69 kgPiccoli
27
64 kgHvastija
28
75 kgBallerini
30
78 kgBugno
35
68 kgElli
38
71 kgRichard
39
67 kg
Weight (KG) →
Result →
78
62
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUIDI Fabrizio | 73 |
| 2 | CASAGRANDE Francesco | 64 |
| 5 | ODRIOZOLA Jon | 70 |
| 6 | VIRENQUE Richard | 65 |
| 7 | CAMENZIND Oscar | 62 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 11 | DONATI Massimo | 75 |
| 12 | HERVÉ Pascal | 62 |
| 14 | BROCHARD Laurent | 68 |
| 16 | OLANO Abraham | 70 |
| 22 | BRUYNEEL Johan | 71 |
| 25 | LELLI Massimiliano | 69 |
| 27 | PICCOLI Mariano | 64 |
| 28 | HVASTIJA Martin | 75 |
| 30 | BALLERINI Franco | 78 |
| 35 | BUGNO Gianni | 68 |
| 38 | ELLI Alberto | 71 |
| 39 | RICHARD Pascal | 67 |