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 = 1.1 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Richard
1
67 kgPiepoli
2
54 kgSørensen
3
70 kgFondriest
5
70 kgTafi
6
73 kgChiappucci
7
67 kgBelli
9
64 kgNoè
11
65 kgCasagrande
13
64 kgJärmann
15
73 kgRebellin
18
63 kgElli
19
71 kgKonyshev
20
77 kgGougot
23
72 kgTonkov
26
70 kgNardello
27
74 kgPetito
29
78 kgCenghialta
30
73 kgSciandri
36
75 kg
1
67 kgPiepoli
2
54 kgSørensen
3
70 kgFondriest
5
70 kgTafi
6
73 kgChiappucci
7
67 kgBelli
9
64 kgNoè
11
65 kgCasagrande
13
64 kgJärmann
15
73 kgRebellin
18
63 kgElli
19
71 kgKonyshev
20
77 kgGougot
23
72 kgTonkov
26
70 kgNardello
27
74 kgPetito
29
78 kgCenghialta
30
73 kgSciandri
36
75 kg
Weight (KG) →
Result →
78
54
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 2 | PIEPOLI Leonardo | 54 |
| 3 | SØRENSEN Rolf | 70 |
| 5 | FONDRIEST Maurizio | 70 |
| 6 | TAFI Andrea | 73 |
| 7 | CHIAPPUCCI Claudio | 67 |
| 9 | BELLI Wladimir | 64 |
| 11 | NOÈ Andrea | 65 |
| 13 | CASAGRANDE Francesco | 64 |
| 15 | JÄRMANN Rolf | 73 |
| 18 | REBELLIN Davide | 63 |
| 19 | ELLI Alberto | 71 |
| 20 | KONYSHEV Dmitry | 77 |
| 23 | GOUGOT Fabrice | 72 |
| 26 | TONKOV Pavel | 70 |
| 27 | NARDELLO Daniele | 74 |
| 29 | PETITO Roberto | 78 |
| 30 | CENGHIALTA Bruno | 73 |
| 36 | SCIANDRI Maximilian | 75 |