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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pidgornyy
1
72 kgSørensen
2
64 kgBettini
3
58 kgCaruso
4
60 kgRebellin
5
63 kgBarry
6
72 kgGusev
7
67 kgRohregger
8
63 kgGlomser
9
67 kgRoels
10
75 kgNapolitano
11
81 kgKolobnev
12
64 kgBenetseder
13
65 kgSeeldraeyers
14
60 kgGrabovskyy
16
69 kgBrajkovič
17
60 kgEfimkin
18
70 kgGreipel
19
80 kgPedraza
20
58 kgVan den Broeck
21
69 kgHondo
22
73 kgHaselbacher
24
69 kg
1
72 kgSørensen
2
64 kgBettini
3
58 kgCaruso
4
60 kgRebellin
5
63 kgBarry
6
72 kgGusev
7
67 kgRohregger
8
63 kgGlomser
9
67 kgRoels
10
75 kgNapolitano
11
81 kgKolobnev
12
64 kgBenetseder
13
65 kgSeeldraeyers
14
60 kgGrabovskyy
16
69 kgBrajkovič
17
60 kgEfimkin
18
70 kgGreipel
19
80 kgPedraza
20
58 kgVan den Broeck
21
69 kgHondo
22
73 kgHaselbacher
24
69 kg
Weight (KG) →
Result →
81
58
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | PIDGORNYY Ruslan | 72 |
2 | SØRENSEN Chris Anker | 64 |
3 | BETTINI Paolo | 58 |
4 | CARUSO Giampaolo | 60 |
5 | REBELLIN Davide | 63 |
6 | BARRY Michael | 72 |
7 | GUSEV Vladimir | 67 |
8 | ROHREGGER Thomas | 63 |
9 | GLOMSER Gerrit | 67 |
10 | ROELS Dominik | 75 |
11 | NAPOLITANO Danilo | 81 |
12 | KOLOBNEV Alexandr | 64 |
13 | BENETSEDER Josef | 65 |
14 | SEELDRAEYERS Kevin | 60 |
16 | GRABOVSKYY Dmytro | 69 |
17 | BRAJKOVIČ Janez | 60 |
18 | EFIMKIN Alexander | 70 |
19 | GREIPEL André | 80 |
20 | PEDRAZA Wálter Fernando | 58 |
21 | VAN DEN BROECK Jurgen | 69 |
22 | HONDO Danilo | 73 |
24 | HASELBACHER René | 69 |