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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Piepoli
1
54 kgGasparotto
2
65 kgCorioni
3
67 kgHushovd
4
83 kgPopovych
5
64 kgHorrillo
6
76 kgRodriguez
7
68 kgCuesta
8
62 kgMoncoutié
9
69 kgRogers
10
74 kgOsa
11
64 kgWrolich
12
68 kgMosquera
13
65 kgvan Heeswijk
14
73 kgFédrigo
15
66 kgDelage
16
70 kgMartín Perdiguero
17
63 kgMoreau
18
71 kgMayo
19
65 kgGilbert
20
75 kgFurlan
21
72 kgRebellin
23
63 kgBaguet
24
67 kg
1
54 kgGasparotto
2
65 kgCorioni
3
67 kgHushovd
4
83 kgPopovych
5
64 kgHorrillo
6
76 kgRodriguez
7
68 kgCuesta
8
62 kgMoncoutié
9
69 kgRogers
10
74 kgOsa
11
64 kgWrolich
12
68 kgMosquera
13
65 kgvan Heeswijk
14
73 kgFédrigo
15
66 kgDelage
16
70 kgMartín Perdiguero
17
63 kgMoreau
18
71 kgMayo
19
65 kgGilbert
20
75 kgFurlan
21
72 kgRebellin
23
63 kgBaguet
24
67 kg
Weight (KG) →
Result →
83
54
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | PIEPOLI Leonardo | 54 |
2 | GASPAROTTO Enrico | 65 |
3 | CORIONI Claudio | 67 |
4 | HUSHOVD Thor | 83 |
5 | POPOVYCH Yaroslav | 64 |
6 | HORRILLO Pedro | 76 |
7 | RODRIGUEZ Fred | 68 |
8 | CUESTA Iñigo | 62 |
9 | MONCOUTIÉ David | 69 |
10 | ROGERS Michael | 74 |
11 | OSA Aitor | 64 |
12 | WROLICH Peter | 68 |
13 | MOSQUERA Ezequiel | 65 |
14 | VAN HEESWIJK Max | 73 |
15 | FÉDRIGO Pierrick | 66 |
16 | DELAGE Mickaël | 70 |
17 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
18 | MOREAU Christophe | 71 |
19 | MAYO Iban | 65 |
20 | GILBERT Philippe | 75 |
21 | FURLAN Angelo | 72 |
23 | REBELLIN Davide | 63 |
24 | BAGUET Serge | 67 |