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 + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Modolo
1
67 kgBoem
2
75 kgFelline
5
68 kgBerdos
6
68 kgSilin
7
61 kgHoward
8
72 kgSagan
9
78 kgTleubayev
10
70 kgMagazzini
11
58 kgBoaro
12
64 kgBattaglin
13
64 kgSchoffmann
14
67 kgPapok
15
76 kgHrinkow
17
61 kgBarbin
21
60 kgMoser
22
64 kgNechita
23
71 kgCanola
24
66 kgMatthews
26
72 kgTsatevich
32
64 kgKrizek
40
74 kgCimolai
43
70 kgĐurasek
44
56 kgGraziato
50
73 kg
1
67 kgBoem
2
75 kgFelline
5
68 kgBerdos
6
68 kgSilin
7
61 kgHoward
8
72 kgSagan
9
78 kgTleubayev
10
70 kgMagazzini
11
58 kgBoaro
12
64 kgBattaglin
13
64 kgSchoffmann
14
67 kgPapok
15
76 kgHrinkow
17
61 kgBarbin
21
60 kgMoser
22
64 kgNechita
23
71 kgCanola
24
66 kgMatthews
26
72 kgTsatevich
32
64 kgKrizek
40
74 kgCimolai
43
70 kgĐurasek
44
56 kgGraziato
50
73 kg
Weight (KG) →
Result →
78
56
1
50
# | Rider | Weight (KG) |
---|---|---|
1 | MODOLO Sacha | 67 |
2 | BOEM Nicola | 75 |
5 | FELLINE Fabio | 68 |
6 | BERDOS Oleg | 68 |
7 | SILIN Egor | 61 |
8 | HOWARD Leigh | 72 |
9 | SAGAN Peter | 78 |
10 | TLEUBAYEV Ruslan | 70 |
11 | MAGAZZINI Enrico | 58 |
12 | BOARO Manuele | 64 |
13 | BATTAGLIN Enrico | 64 |
14 | SCHOFFMANN Martin | 67 |
15 | PAPOK Siarhei | 76 |
17 | HRINKOW Dominik | 61 |
21 | BARBIN Enrico | 60 |
22 | MOSER Moreno | 64 |
23 | NECHITA Andrei | 71 |
24 | CANOLA Marco | 66 |
26 | MATTHEWS Michael | 72 |
32 | TSATEVICH Alexey | 64 |
40 | KRIZEK Matthias | 74 |
43 | CIMOLAI Davide | 70 |
44 | ĐURASEK Kristijan | 56 |
50 | GRAZIATO Massimo | 73 |