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 = 0.7 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Sinkewitz
1
63 kgCunego
2
58 kgQuinziato
3
74 kgSzmyd
4
60 kgBertagnolli
5
63 kgTankink
6
71 kgMarzano
7
58 kgJeker
8
72 kgCobo
9
62 kgFukushima
11
62 kgVan Goolen
12
70 kgPinotti
15
67 kgSuzuki
16
60 kgHuzarski
20
69 kgCelestino
21
67 kgBossoni
22
62 kgBallan
24
73 kgVentoso
25
75 kgMartín Perdiguero
31
63 kgBramati
34
72 kgGeslin
35
68 kgHulsmans
37
75 kgNishitani
41
62 kg
1
63 kgCunego
2
58 kgQuinziato
3
74 kgSzmyd
4
60 kgBertagnolli
5
63 kgTankink
6
71 kgMarzano
7
58 kgJeker
8
72 kgCobo
9
62 kgFukushima
11
62 kgVan Goolen
12
70 kgPinotti
15
67 kgSuzuki
16
60 kgHuzarski
20
69 kgCelestino
21
67 kgBossoni
22
62 kgBallan
24
73 kgVentoso
25
75 kgMartín Perdiguero
31
63 kgBramati
34
72 kgGeslin
35
68 kgHulsmans
37
75 kgNishitani
41
62 kg
Weight (KG) →
Result →
75
58
1
41
# | Rider | Weight (KG) |
---|---|---|
1 | SINKEWITZ Patrik | 63 |
2 | CUNEGO Damiano | 58 |
3 | QUINZIATO Manuel | 74 |
4 | SZMYD Sylwester | 60 |
5 | BERTAGNOLLI Leonardo | 63 |
6 | TANKINK Bram | 71 |
7 | MARZANO Marco | 58 |
8 | JEKER Fabian | 72 |
9 | COBO Juan José | 62 |
11 | FUKUSHIMA Shinichi | 62 |
12 | VAN GOOLEN Jurgen | 70 |
15 | PINOTTI Marco | 67 |
16 | SUZUKI Shinri | 60 |
20 | HUZARSKI Bartosz | 69 |
21 | CELESTINO Mirko | 67 |
22 | BOSSONI Paolo | 62 |
24 | BALLAN Alessandro | 73 |
25 | VENTOSO Francisco José | 75 |
31 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
34 | BRAMATI Davide | 72 |
35 | GESLIN Anthony | 68 |
37 | HULSMANS Kevin | 75 |
41 | NISHITANI Taiji | 62 |