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 = -2.1 * weight + 151
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Johansson
2
58 kgCantele
3
58 kgGilmore
5
56 kgHenrion
6
60 kgJeuland-Tranchant
8
61 kgMartisova
12
64 kgBeveridge
13
55 kgHohl
16
55 kgNumainville
24
65 kgBurchenkova
27
67 kgFerrier-Bruneau
31
53 kgWyman
33
56 kgVžesniauskaitė
34
57 kgCooke
39
58 kgBrzeźna
45
56 kgBrammeier
48
60 kgMartin
53
57 kgPučinskaitė
56
54 kgAntoshina
65
55 kgLaws
68
54 kgRiabchenko
73
57 kg
2
58 kgCantele
3
58 kgGilmore
5
56 kgHenrion
6
60 kgJeuland-Tranchant
8
61 kgMartisova
12
64 kgBeveridge
13
55 kgHohl
16
55 kgNumainville
24
65 kgBurchenkova
27
67 kgFerrier-Bruneau
31
53 kgWyman
33
56 kgVžesniauskaitė
34
57 kgCooke
39
58 kgBrzeźna
45
56 kgBrammeier
48
60 kgMartin
53
57 kgPučinskaitė
56
54 kgAntoshina
65
55 kgLaws
68
54 kgRiabchenko
73
57 kg
Weight (KG) →
Result →
67
53
2
73
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JOHANSSON Emma | 58 |
| 3 | CANTELE Noemi | 58 |
| 5 | GILMORE Rochelle | 56 |
| 6 | HENRION Ludivine | 60 |
| 8 | JEULAND-TRANCHANT Pascale | 61 |
| 12 | MARTISOVA Julia | 64 |
| 13 | BEVERIDGE Julie | 55 |
| 16 | HOHL Jennifer | 55 |
| 24 | NUMAINVILLE Joëlle | 65 |
| 27 | BURCHENKOVA Alexandra | 67 |
| 31 | FERRIER-BRUNEAU Christel | 53 |
| 33 | WYMAN Helen | 56 |
| 34 | VŽESNIAUSKAITĖ Modesta | 57 |
| 39 | COOKE Nicole | 58 |
| 45 | BRZEŹNA Paulina | 56 |
| 48 | BRAMMEIER Nikki | 60 |
| 53 | MARTIN Lucy | 57 |
| 56 | PUČINSKAITĖ Edita | 54 |
| 65 | ANTOSHINA Tatiana | 55 |
| 68 | LAWS Sharon | 54 |
| 73 | RIABCHENKO Tetyana | 57 |