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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Garofoli
1
62 kgVerre
3
59 kgBlum
4
68 kgBagatin
5
75 kgPiccolo
7
64 kgTiberi
9
62 kgCretti
11
63 kgPonomar
13
65 kgBilyi
15
56 kgDe Cassan
16
61 kgZambanini
18
62 kgGermani
22
62 kgMiholjević
23
72 kgSteinhauser
26
65 kgBaroni
27
63 kgPiganzoli
28
61 kgMoro
32
81 kgVinokurov
33
66 kgGórak
36
72 kgColnar
40
63 kgSmetaniuk
41
71 kgVančo
45
69 kgDe Pretto
52
58 kg
1
62 kgVerre
3
59 kgBlum
4
68 kgBagatin
5
75 kgPiccolo
7
64 kgTiberi
9
62 kgCretti
11
63 kgPonomar
13
65 kgBilyi
15
56 kgDe Cassan
16
61 kgZambanini
18
62 kgGermani
22
62 kgMiholjević
23
72 kgSteinhauser
26
65 kgBaroni
27
63 kgPiganzoli
28
61 kgMoro
32
81 kgVinokurov
33
66 kgGórak
36
72 kgColnar
40
63 kgSmetaniuk
41
71 kgVančo
45
69 kgDe Pretto
52
58 kg
Weight (KG) →
Result →
81
56
1
52
# | Rider | Weight (KG) |
---|---|---|
1 | GAROFOLI Gianmarco | 62 |
3 | VERRE Alessandro | 59 |
4 | BLUM Elia | 68 |
5 | BAGATIN Christian | 75 |
7 | PICCOLO Andrea | 64 |
9 | TIBERI Antonio | 62 |
11 | CRETTI Luca | 63 |
13 | PONOMAR Andrii | 65 |
15 | BILYI Maksym | 56 |
16 | DE CASSAN Davide | 61 |
18 | ZAMBANINI Edoardo | 62 |
22 | GERMANI Lorenzo | 62 |
23 | MIHOLJEVIĆ Fran | 72 |
26 | STEINHAUSER Georg | 65 |
27 | BARONI Alessandro | 63 |
28 | PIGANZOLI Davide | 61 |
32 | MORO Manlio | 81 |
33 | VINOKUROV Alexandre | 66 |
36 | GÓRAK Dominik | 72 |
40 | COLNAR Aljaž | 63 |
41 | SMETANIUK Oleksander | 71 |
45 | VANČO Tobias | 69 |
52 | DE PRETTO Davide | 58 |