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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Riccò
1
57 kgBettini
2
58 kgCunego
3
58 kgNibali
4
65 kgLancaster
5
78 kgMazzanti
6
64 kgKuschynski
7
65 kgGiunti
8
62 kgPellizotti
9
64 kgNocentini
11
60 kgBertolini
13
63 kgSella
14
54 kgJufré
15
65 kgGasparre
16
60 kgAerts
17
68 kgHesjedal
18
73 kgGutiérrez
19
78 kgValjavec
20
59 kgJaniaczyk
21
68 kg
1
57 kgBettini
2
58 kgCunego
3
58 kgNibali
4
65 kgLancaster
5
78 kgMazzanti
6
64 kgKuschynski
7
65 kgGiunti
8
62 kgPellizotti
9
64 kgNocentini
11
60 kgBertolini
13
63 kgSella
14
54 kgJufré
15
65 kgGasparre
16
60 kgAerts
17
68 kgHesjedal
18
73 kgGutiérrez
19
78 kgValjavec
20
59 kgJaniaczyk
21
68 kg
Weight (KG) →
Result →
78
54
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICCÒ Riccardo | 57 |
| 2 | BETTINI Paolo | 58 |
| 3 | CUNEGO Damiano | 58 |
| 4 | NIBALI Vincenzo | 65 |
| 5 | LANCASTER Brett | 78 |
| 6 | MAZZANTI Luca | 64 |
| 7 | KUSCHYNSKI Aleksandr | 65 |
| 8 | GIUNTI Massimo | 62 |
| 9 | PELLIZOTTI Franco | 64 |
| 11 | NOCENTINI Rinaldo | 60 |
| 13 | BERTOLINI Alessandro | 63 |
| 14 | SELLA Emanuele | 54 |
| 15 | JUFRÉ Josep | 65 |
| 16 | GASPARRE Graziano | 60 |
| 17 | AERTS Mario | 68 |
| 18 | HESJEDAL Ryder | 73 |
| 19 | GUTIÉRREZ José Enrique | 78 |
| 20 | VALJAVEC Tadej | 59 |
| 21 | JANIACZYK Błażej | 68 |