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 = 0.6 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Numainville
1
65 kgJeuland-Tranchant
2
61 kgMartisova
4
64 kgJohansson
5
58 kgGilmore
7
56 kgFerrier-Bruneau
9
53 kgBrzeźna
17
56 kgHohl
19
55 kgAntoshina
26
55 kgPučinskaitė
27
54 kgCooke
31
58 kgVžesniauskaitė
33
57 kgCantele
41
58 kgHenrion
45
60 kgLaws
47
54 kgMartin
50
57 kgWyman
52
56 kgBrammeier
60
60 kgRiabchenko
80
57 kgBurchenkova
83
67 kg
1
65 kgJeuland-Tranchant
2
61 kgMartisova
4
64 kgJohansson
5
58 kgGilmore
7
56 kgFerrier-Bruneau
9
53 kgBrzeźna
17
56 kgHohl
19
55 kgAntoshina
26
55 kgPučinskaitė
27
54 kgCooke
31
58 kgVžesniauskaitė
33
57 kgCantele
41
58 kgHenrion
45
60 kgLaws
47
54 kgMartin
50
57 kgWyman
52
56 kgBrammeier
60
60 kgRiabchenko
80
57 kgBurchenkova
83
67 kg
Weight (KG) →
Result →
67
53
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NUMAINVILLE Joëlle | 65 |
| 2 | JEULAND-TRANCHANT Pascale | 61 |
| 4 | MARTISOVA Julia | 64 |
| 5 | JOHANSSON Emma | 58 |
| 7 | GILMORE Rochelle | 56 |
| 9 | FERRIER-BRUNEAU Christel | 53 |
| 17 | BRZEŹNA Paulina | 56 |
| 19 | HOHL Jennifer | 55 |
| 26 | ANTOSHINA Tatiana | 55 |
| 27 | PUČINSKAITĖ Edita | 54 |
| 31 | COOKE Nicole | 58 |
| 33 | VŽESNIAUSKAITĖ Modesta | 57 |
| 41 | CANTELE Noemi | 58 |
| 45 | HENRION Ludivine | 60 |
| 47 | LAWS Sharon | 54 |
| 50 | MARTIN Lucy | 57 |
| 52 | WYMAN Helen | 56 |
| 60 | BRAMMEIER Nikki | 60 |
| 80 | RIABCHENKO Tetyana | 57 |
| 83 | BURCHENKOVA Alexandra | 67 |