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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bouts
1
62 kgGerts
2
71 kgPearson
3
53 kgPellaud
4
70 kgRavanelli
5
66 kgHulgaard
6
73 kgBudding
7
74 kgHindsgaul
8
67 kgPrice-Pejtersen
9
83 kgMunk
10
67 kgVan Breussegem
11
68 kgBenfatto
12
71 kgNaudts
16
60 kgBisolti
17
58 kgPage
21
64 kgBusato
22
67 kgMcDunphy
24
70 kgChristensen
26
63 kgTronet
27
67 kgStedman
28
54 kgHavik
31
73 kgSpreafico
34
69 kg
1
62 kgGerts
2
71 kgPearson
3
53 kgPellaud
4
70 kgRavanelli
5
66 kgHulgaard
6
73 kgBudding
7
74 kgHindsgaul
8
67 kgPrice-Pejtersen
9
83 kgMunk
10
67 kgVan Breussegem
11
68 kgBenfatto
12
71 kgNaudts
16
60 kgBisolti
17
58 kgPage
21
64 kgBusato
22
67 kgMcDunphy
24
70 kgChristensen
26
63 kgTronet
27
67 kgStedman
28
54 kgHavik
31
73 kgSpreafico
34
69 kg
Weight (KG) →
Result →
83
53
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUTS Jordy | 62 |
| 2 | GERTS Floris | 71 |
| 3 | PEARSON Daniel | 53 |
| 4 | PELLAUD Simon | 70 |
| 5 | RAVANELLI Simone | 66 |
| 6 | HULGAARD Morten | 73 |
| 7 | BUDDING Martijn | 74 |
| 8 | HINDSGAUL Jacob | 67 |
| 9 | PRICE-PEJTERSEN Johan | 83 |
| 10 | MUNK Steffen | 67 |
| 11 | VAN BREUSSEGEM Elias | 68 |
| 12 | BENFATTO Marco | 71 |
| 16 | NAUDTS Thomas | 60 |
| 17 | BISOLTI Alessandro | 58 |
| 21 | PAGE Dylan | 64 |
| 22 | BUSATO Matteo | 67 |
| 24 | MCDUNPHY Conn | 70 |
| 26 | CHRISTENSEN Ryan | 63 |
| 27 | TRONET Steven | 67 |
| 28 | STEDMAN Maximilian | 54 |
| 31 | HAVIK Piotr | 73 |
| 34 | SPREAFICO Matteo | 69 |