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 = -3 * weight + 214
This means that on average for every extra kilogram weight a rider loses -3 positions in the result.
Tserakh
1
70 kgFidanza
2
60 kgConsonni
3
59 kgColes-Lyster
4
61 kgFahlin
5
63 kgBaker
9
66 kgJaskulska
12
52 kgDronova-Balabolina
13
63 kgGuazzini
16
65 kgBarbieri
17
55 kgPikulik
20
54 kgDuval
23
53 kgLach
35
59 kgSmulders
41
51 kgJounier
49
58 kgKessler
53
60 kgZabelinskaya
56
52 kgKhatuntseva
73
54 kgPirrone
75
63 kgKoster
82
56 kgYonamine
85
51 kgMalcotti
93
52 kgAllen
94
55 kg
1
70 kgFidanza
2
60 kgConsonni
3
59 kgColes-Lyster
4
61 kgFahlin
5
63 kgBaker
9
66 kgJaskulska
12
52 kgDronova-Balabolina
13
63 kgGuazzini
16
65 kgBarbieri
17
55 kgPikulik
20
54 kgDuval
23
53 kgLach
35
59 kgSmulders
41
51 kgJounier
49
58 kgKessler
53
60 kgZabelinskaya
56
52 kgKhatuntseva
73
54 kgPirrone
75
63 kgKoster
82
56 kgYonamine
85
51 kgMalcotti
93
52 kgAllen
94
55 kg
Weight (KG) →
Result →
70
51
1
94
# | Rider | Weight (KG) |
---|---|---|
1 | TSERAKH Hanna | 70 |
2 | FIDANZA Martina | 60 |
3 | CONSONNI Chiara | 59 |
4 | COLES-LYSTER Maggie | 61 |
5 | FAHLIN Emilia | 63 |
9 | BAKER Georgia | 66 |
12 | JASKULSKA Marta | 52 |
13 | DRONOVA-BALABOLINA Tamara | 63 |
16 | GUAZZINI Vittoria | 65 |
17 | BARBIERI Rachele | 55 |
20 | PIKULIK Daria | 54 |
23 | DUVAL Eugénie | 53 |
35 | LACH Marta | 59 |
41 | SMULDERS Silke | 51 |
49 | JOUNIER Lucie | 58 |
53 | KESSLER Nina | 60 |
56 | ZABELINSKAYA Olga | 52 |
73 | KHATUNTSEVA Gulnaz | 54 |
75 | PIRRONE Elena | 63 |
82 | KOSTER Anouska | 56 |
85 | YONAMINE Eri | 51 |
93 | MALCOTTI Barbara | 52 |
94 | ALLEN Jessica | 55 |