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 = -0.2 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rajović
1
74 kgAparicio
2
69 kgQuartucci
3
64 kgPersico
4
65 kgTaaramäe
6
73 kgSainbayar
7
60 kgMarivoet
9
59 kgHamdan
10
66 kgBezza
11
76 kgBurnett
13
73 kgAlmutaiwei
16
74 kgBalmer
17
70 kgPapon
18
69 kgHashimoto
20
77 kgBudyak
22
53 kgCajucom
23
60 kgFuentes
25
77 kgBaguelin
26
72 kgSaleh
28
70 kgPellaud
29
70 kgvan Engelen
34
51 kgArvanitou
35
71 kgAlrefai
36
65 kg
1
74 kgAparicio
2
69 kgQuartucci
3
64 kgPersico
4
65 kgTaaramäe
6
73 kgSainbayar
7
60 kgMarivoet
9
59 kgHamdan
10
66 kgBezza
11
76 kgBurnett
13
73 kgAlmutaiwei
16
74 kgBalmer
17
70 kgPapon
18
69 kgHashimoto
20
77 kgBudyak
22
53 kgCajucom
23
60 kgFuentes
25
77 kgBaguelin
26
72 kgSaleh
28
70 kgPellaud
29
70 kgvan Engelen
34
51 kgArvanitou
35
71 kgAlrefai
36
65 kg
Weight (KG) →
Result →
77
51
1
36
# | Rider | Weight (KG) |
---|---|---|
1 | RAJOVIĆ Dušan | 74 |
2 | APARICIO Mario | 69 |
3 | QUARTUCCI Lorenzo | 64 |
4 | PERSICO Davide | 65 |
6 | TAARAMÄE Rein | 73 |
7 | SAINBAYAR Jambaljamts | 60 |
9 | MARIVOET Duarte | 59 |
10 | HAMDAN Wan Abdul Rahman | 66 |
11 | BEZZA Quentin | 76 |
13 | BURNETT Josh | 73 |
16 | ALMUTAIWEI Mohammad | 74 |
17 | BALMER Alexandre | 70 |
18 | PAPON Victor | 69 |
20 | HASHIMOTO Eiya | 77 |
22 | BUDYAK Anatoliy | 53 |
23 | CAJUCOM Ean | 60 |
25 | FUENTES Ángel | 77 |
26 | BAGUELIN Jocelyn | 72 |
28 | SALEH Mohd Harrif | 70 |
29 | PELLAUD Simon | 70 |
34 | VAN ENGELEN Adne | 51 |
35 | ARVANITOU Nikiforos | 71 |
36 | ALREFAI Ibrahiem | 65 |