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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bettini
1
58 kgZabel
2
69 kgHushovd
4
83 kgBallan
5
73 kgPérez
6
65 kgRebellin
7
63 kgCasper
8
69 kgRojas
9
70 kgFreire
10
63 kgGarzelli
11
62 kgNocentini
12
60 kgCheula
14
62 kgMazzanti
15
64 kgAscani
16
75 kgPriamo
17
72 kgRiccò
18
57 kgSimeoni
19
68 kgLe Mével
20
61 kgFacci
21
68 kg
1
58 kgZabel
2
69 kgHushovd
4
83 kgBallan
5
73 kgPérez
6
65 kgRebellin
7
63 kgCasper
8
69 kgRojas
9
70 kgFreire
10
63 kgGarzelli
11
62 kgNocentini
12
60 kgCheula
14
62 kgMazzanti
15
64 kgAscani
16
75 kgPriamo
17
72 kgRiccò
18
57 kgSimeoni
19
68 kgLe Mével
20
61 kgFacci
21
68 kg
Weight (KG) →
Result →
83
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BETTINI Paolo | 58 |
| 2 | ZABEL Erik | 69 |
| 4 | HUSHOVD Thor | 83 |
| 5 | BALLAN Alessandro | 73 |
| 6 | PÉREZ Rubén | 65 |
| 7 | REBELLIN Davide | 63 |
| 8 | CASPER Jimmy | 69 |
| 9 | ROJAS José Joaquín | 70 |
| 10 | FREIRE Óscar | 63 |
| 11 | GARZELLI Stefano | 62 |
| 12 | NOCENTINI Rinaldo | 60 |
| 14 | CHEULA Giampaolo | 62 |
| 15 | MAZZANTI Luca | 64 |
| 16 | ASCANI Luca | 75 |
| 17 | PRIAMO Matteo | 72 |
| 18 | RICCÒ Riccardo | 57 |
| 19 | SIMEONI Filippo | 68 |
| 20 | LE MÉVEL Christophe | 61 |
| 21 | FACCI Mauro | 68 |