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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Zabel
1
69 kgLeoni
2
74 kgSvorada
3
76 kgSmetanine
4
69 kgSpruch
5
68 kgZberg
6
69 kgCipollini
8
77 kgChanteur
9
62 kgStrazzer
10
68 kgBaffi
11
70 kgvan Heeswijk
12
73 kgFagnini
13
70 kgJalabert
14
66 kgEkimov
16
69 kgDomínguez
17
64 kgLafis
18
78 kgMoreau
19
77 kgArrieta
20
68 kg
1
69 kgLeoni
2
74 kgSvorada
3
76 kgSmetanine
4
69 kgSpruch
5
68 kgZberg
6
69 kgCipollini
8
77 kgChanteur
9
62 kgStrazzer
10
68 kgBaffi
11
70 kgvan Heeswijk
12
73 kgFagnini
13
70 kgJalabert
14
66 kgEkimov
16
69 kgDomínguez
17
64 kgLafis
18
78 kgMoreau
19
77 kgArrieta
20
68 kg
Weight (KG) →
Result →
78
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | LEONI Endrio | 74 |
| 3 | SVORADA Ján | 76 |
| 4 | SMETANINE Serguei | 69 |
| 5 | SPRUCH Zbigniew | 68 |
| 6 | ZBERG Markus | 69 |
| 8 | CIPOLLINI Mario | 77 |
| 9 | CHANTEUR Pascal | 62 |
| 10 | STRAZZER Massimo | 68 |
| 11 | BAFFI Adriano | 70 |
| 12 | VAN HEESWIJK Max | 73 |
| 13 | FAGNINI Gian Matteo | 70 |
| 14 | JALABERT Laurent | 66 |
| 16 | EKIMOV Viatcheslav | 69 |
| 17 | DOMÍNGUEZ Juan Carlos | 64 |
| 18 | LAFIS Michel | 78 |
| 19 | MOREAU Francis | 77 |
| 20 | ARRIETA José Luis | 68 |