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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Casagrande
1
64 kgDonati
3
75 kgMagnien
5
68 kgChiappucci
6
67 kgSciandri
7
75 kgNoè
11
65 kgGotti
12
65 kgSunderland
13
65 kgKonyshev
14
77 kgNardello
15
74 kgTonkov
16
70 kgCorvers
19
77 kgBonča
20
63 kgSalmon
21
60 kgHodge
22
74 kgAndriotto
23
68 kgVoskamp
25
75 kgSørensen
26
70 kgGuidi
27
73 kgGougot
28
72 kgJeker
30
72 kg
1
64 kgDonati
3
75 kgMagnien
5
68 kgChiappucci
6
67 kgSciandri
7
75 kgNoè
11
65 kgGotti
12
65 kgSunderland
13
65 kgKonyshev
14
77 kgNardello
15
74 kgTonkov
16
70 kgCorvers
19
77 kgBonča
20
63 kgSalmon
21
60 kgHodge
22
74 kgAndriotto
23
68 kgVoskamp
25
75 kgSørensen
26
70 kgGuidi
27
73 kgGougot
28
72 kgJeker
30
72 kg
Weight (KG) →
Result →
77
60
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASAGRANDE Francesco | 64 |
| 3 | DONATI Massimo | 75 |
| 5 | MAGNIEN Emmanuel | 68 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 7 | SCIANDRI Maximilian | 75 |
| 11 | NOÈ Andrea | 65 |
| 12 | GOTTI Ivan | 65 |
| 13 | SUNDERLAND Scott | 65 |
| 14 | KONYSHEV Dmitry | 77 |
| 15 | NARDELLO Daniele | 74 |
| 16 | TONKOV Pavel | 70 |
| 19 | CORVERS Frank | 77 |
| 20 | BONČA Valter | 63 |
| 21 | SALMON Benoît | 60 |
| 22 | HODGE Stephen | 74 |
| 23 | ANDRIOTTO Dario | 68 |
| 25 | VOSKAMP Bart | 75 |
| 26 | SØRENSEN Rolf | 70 |
| 27 | GUIDI Fabrizio | 73 |
| 28 | GOUGOT Fabrice | 72 |
| 30 | JEKER Fabian | 72 |