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 + 12
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rajović
1
74 kgAparicio
2
69 kgQuartucci
3
64 kgPersico
4
65 kgSainbayar
6
60 kgMarivoet
7
59 kgHamdan
8
66 kgBurnett
11
73 kgHashimoto
15
77 kgBudyak
17
53 kgCajucom
18
60 kgBalmer
20
70 kgBaguelin
21
72 kgTaaramäe
22
73 kgSaleh
24
70 kgAlmutaiwei
28
74 kgvan Engelen
29
51 kgArvanitou
31
71 kgPellaud
32
70 kgAlrefai
33
65 kg
1
74 kgAparicio
2
69 kgQuartucci
3
64 kgPersico
4
65 kgSainbayar
6
60 kgMarivoet
7
59 kgHamdan
8
66 kgBurnett
11
73 kgHashimoto
15
77 kgBudyak
17
53 kgCajucom
18
60 kgBalmer
20
70 kgBaguelin
21
72 kgTaaramäe
22
73 kgSaleh
24
70 kgAlmutaiwei
28
74 kgvan Engelen
29
51 kgArvanitou
31
71 kgPellaud
32
70 kgAlrefai
33
65 kg
Weight (KG) →
Result →
77
51
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAJOVIĆ Dušan | 74 |
| 2 | APARICIO Mario | 69 |
| 3 | QUARTUCCI Lorenzo | 64 |
| 4 | PERSICO Davide | 65 |
| 6 | SAINBAYAR Jambaljamts | 60 |
| 7 | MARIVOET Duarte | 59 |
| 8 | HAMDAN Wan Abdul Rahman | 66 |
| 11 | BURNETT Josh | 73 |
| 15 | HASHIMOTO Eiya | 77 |
| 17 | BUDYAK Anatoliy | 53 |
| 18 | CAJUCOM Ean | 60 |
| 20 | BALMER Alexandre | 70 |
| 21 | BAGUELIN Jocelyn | 72 |
| 22 | TAARAMÄE Rein | 73 |
| 24 | SALEH Mohd Harrif | 70 |
| 28 | ALMUTAIWEI Mohammad | 74 |
| 29 | VAN ENGELEN Adne | 51 |
| 31 | ARVANITOU Nikiforos | 71 |
| 32 | PELLAUD Simon | 70 |
| 33 | ALREFAI Ibrahiem | 65 |