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 = -1 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Jeuland-Tranchant
3
61 kgGilmore
4
56 kgMartisova
6
64 kgFerrier-Bruneau
7
53 kgCooke
8
58 kgJohansson
11
58 kgHohl
13
55 kgPučinskaitė
15
54 kgNumainville
19
65 kgHenrion
26
60 kgBrzeźna
32
56 kgLaws
33
54 kgCantele
36
58 kgMartin
39
57 kgVžesniauskaitė
44
57 kgWyman
49
56 kgAntoshina
52
55 kgBrammeier
53
60 kgRiabchenko
67
57 kg
3
61 kgGilmore
4
56 kgMartisova
6
64 kgFerrier-Bruneau
7
53 kgCooke
8
58 kgJohansson
11
58 kgHohl
13
55 kgPučinskaitė
15
54 kgNumainville
19
65 kgHenrion
26
60 kgBrzeźna
32
56 kgLaws
33
54 kgCantele
36
58 kgMartin
39
57 kgVžesniauskaitė
44
57 kgWyman
49
56 kgAntoshina
52
55 kgBrammeier
53
60 kgRiabchenko
67
57 kg
Weight (KG) →
Result →
65
53
3
67
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JEULAND-TRANCHANT Pascale | 61 |
| 4 | GILMORE Rochelle | 56 |
| 6 | MARTISOVA Julia | 64 |
| 7 | FERRIER-BRUNEAU Christel | 53 |
| 8 | COOKE Nicole | 58 |
| 11 | JOHANSSON Emma | 58 |
| 13 | HOHL Jennifer | 55 |
| 15 | PUČINSKAITĖ Edita | 54 |
| 19 | NUMAINVILLE Joëlle | 65 |
| 26 | HENRION Ludivine | 60 |
| 32 | BRZEŹNA Paulina | 56 |
| 33 | LAWS Sharon | 54 |
| 36 | CANTELE Noemi | 58 |
| 39 | MARTIN Lucy | 57 |
| 44 | VŽESNIAUSKAITĖ Modesta | 57 |
| 49 | WYMAN Helen | 56 |
| 52 | ANTOSHINA Tatiana | 55 |
| 53 | BRAMMEIER Nikki | 60 |
| 67 | RIABCHENKO Tetyana | 57 |