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 = 2.4 * weight - 144
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Bugno
2
68 kgJeker
3
72 kgLeMond
4
67 kgZberg
5
72 kgBreukink
7
70 kgImboden
9
70 kgKelly
18
77 kgElli
22
71 kgden Bakker
23
71 kgFondriest
24
70 kgSergeant
32
76 kgEarley
33
62 kgAldag
35
75 kgHundertmarck
37
72 kgTeteriouk
39
72 kgRiis
42
71 kgCenghialta
43
73 kgScirea
58
80 kgJärmann
60
73 kgWabel
62
72 kgPagnin
68
74 kgTafi
80
73 kg
2
68 kgJeker
3
72 kgLeMond
4
67 kgZberg
5
72 kgBreukink
7
70 kgImboden
9
70 kgKelly
18
77 kgElli
22
71 kgden Bakker
23
71 kgFondriest
24
70 kgSergeant
32
76 kgEarley
33
62 kgAldag
35
75 kgHundertmarck
37
72 kgTeteriouk
39
72 kgRiis
42
71 kgCenghialta
43
73 kgScirea
58
80 kgJärmann
60
73 kgWabel
62
72 kgPagnin
68
74 kgTafi
80
73 kg
Weight (KG) →
Result →
80
62
2
80
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUGNO Gianni | 68 |
| 3 | JEKER Fabian | 72 |
| 4 | LEMOND Greg | 67 |
| 5 | ZBERG Beat | 72 |
| 7 | BREUKINK Erik | 70 |
| 9 | IMBODEN Heinz | 70 |
| 18 | KELLY Sean | 77 |
| 22 | ELLI Alberto | 71 |
| 23 | DEN BAKKER Maarten | 71 |
| 24 | FONDRIEST Maurizio | 70 |
| 32 | SERGEANT Marc | 76 |
| 33 | EARLEY Martin | 62 |
| 35 | ALDAG Rolf | 75 |
| 37 | HUNDERTMARCK Kai | 72 |
| 39 | TETERIOUK Andrei | 72 |
| 42 | RIIS Bjarne | 71 |
| 43 | CENGHIALTA Bruno | 73 |
| 58 | SCIREA Mario | 80 |
| 60 | JÄRMANN Rolf | 73 |
| 62 | WABEL Beat | 72 |
| 68 | PAGNIN Roberto | 74 |
| 80 | TAFI Andrea | 73 |