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 + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Teuns
3
64 kgLatour
6
66 kgIturria
7
69 kgChevrier
10
56 kgDe Vos
11
72 kgParra
12
51 kgGuerin
13
64 kgGuillemois
15
66 kgBidard
17
65 kgTheuns
18
72 kgCalmejane
19
70 kgDumourier
20
60 kgOchoa
22
61 kgStöhr
23
72 kgGrellier
33
65 kgArmirail
37
72 kgBarbero
38
66 kgBaillifard
39
54 kgStöhr
44
66 kgAristi
45
72 kgMaldonado
47
57 kgHandgraaf
62
66 kg
3
64 kgLatour
6
66 kgIturria
7
69 kgChevrier
10
56 kgDe Vos
11
72 kgParra
12
51 kgGuerin
13
64 kgGuillemois
15
66 kgBidard
17
65 kgTheuns
18
72 kgCalmejane
19
70 kgDumourier
20
60 kgOchoa
22
61 kgStöhr
23
72 kgGrellier
33
65 kgArmirail
37
72 kgBarbero
38
66 kgBaillifard
39
54 kgStöhr
44
66 kgAristi
45
72 kgMaldonado
47
57 kgHandgraaf
62
66 kg
Weight (KG) →
Result →
72
51
3
62
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TEUNS Dylan | 64 |
| 6 | LATOUR Pierre | 66 |
| 7 | ITURRIA Mikel | 69 |
| 10 | CHEVRIER Clément | 56 |
| 11 | DE VOS Gertjan | 72 |
| 12 | PARRA Heiner Rodrigo | 51 |
| 13 | GUERIN Alexis | 64 |
| 15 | GUILLEMOIS Romain | 66 |
| 17 | BIDARD François | 65 |
| 18 | THEUNS Edward | 72 |
| 19 | CALMEJANE Lilian | 70 |
| 20 | DUMOURIER Florian | 60 |
| 22 | OCHOA Diego Antonio | 61 |
| 23 | STÖHR Ján | 72 |
| 33 | GRELLIER Fabien | 65 |
| 37 | ARMIRAIL Bruno | 72 |
| 38 | BARBERO Carlos | 66 |
| 39 | BAILLIFARD Valentin | 54 |
| 44 | STÖHR Pavel | 66 |
| 45 | ARISTI Mikel | 72 |
| 47 | MALDONADO Anthony | 57 |
| 62 | HANDGRAAF Sjors | 66 |