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 + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Boardman
1
70 kgZülle
2
72 kgEkimov
3
69 kgGaumont
4
77 kgOlano
5
70 kgGarcía Acosta
6
76 kgDekker
7
66 kgBaffi
8
70 kgBrochard
9
68 kgBoogerd
10
62 kgMoreau
11
71 kgGarmendia
12
68 kgKasputis
13
83 kgMeier
14
60 kgMoreau
15
77 kgJulich
16
68 kgAgnolutto
18
69 kgMeinert-Nielsen
19
73 kg
1
70 kgZülle
2
72 kgEkimov
3
69 kgGaumont
4
77 kgOlano
5
70 kgGarcía Acosta
6
76 kgDekker
7
66 kgBaffi
8
70 kgBrochard
9
68 kgBoogerd
10
62 kgMoreau
11
71 kgGarmendia
12
68 kgKasputis
13
83 kgMeier
14
60 kgMoreau
15
77 kgJulich
16
68 kgAgnolutto
18
69 kgMeinert-Nielsen
19
73 kg
Weight (KG) →
Result →
83
60
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | ZÜLLE Alex | 72 |
| 3 | EKIMOV Viatcheslav | 69 |
| 4 | GAUMONT Philippe | 77 |
| 5 | OLANO Abraham | 70 |
| 6 | GARCÍA ACOSTA José Vicente | 76 |
| 7 | DEKKER Erik | 66 |
| 8 | BAFFI Adriano | 70 |
| 9 | BROCHARD Laurent | 68 |
| 10 | BOOGERD Michael | 62 |
| 11 | MOREAU Christophe | 71 |
| 12 | GARMENDIA Aitor | 68 |
| 13 | KASPUTIS Artūras | 83 |
| 14 | MEIER Roland | 60 |
| 15 | MOREAU Francis | 77 |
| 16 | JULICH Bobby | 68 |
| 18 | AGNOLUTTO Christophe | 69 |
| 19 | MEINERT-NIELSEN Peter | 73 |