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 = -1.6 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Gilmore
2
56 kgCooke
3
58 kgMartisova
4
64 kgJohansson
5
58 kgJeuland-Tranchant
7
61 kgFerrier-Bruneau
10
53 kgHohl
12
55 kgHenrion
19
60 kgNumainville
20
65 kgBeveridge
21
55 kgBurchenkova
29
67 kgBrzeźna
30
56 kgMartin
37
57 kgPučinskaitė
39
54 kgVžesniauskaitė
45
57 kgCantele
50
58 kgWyman
54
56 kgBrammeier
59
60 kgAntoshina
61
55 kgRiabchenko
63
57 kgLaws
75
54 kg
2
56 kgCooke
3
58 kgMartisova
4
64 kgJohansson
5
58 kgJeuland-Tranchant
7
61 kgFerrier-Bruneau
10
53 kgHohl
12
55 kgHenrion
19
60 kgNumainville
20
65 kgBeveridge
21
55 kgBurchenkova
29
67 kgBrzeźna
30
56 kgMartin
37
57 kgPučinskaitė
39
54 kgVžesniauskaitė
45
57 kgCantele
50
58 kgWyman
54
56 kgBrammeier
59
60 kgAntoshina
61
55 kgRiabchenko
63
57 kgLaws
75
54 kg
Weight (KG) →
Result →
67
53
2
75
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GILMORE Rochelle | 56 |
| 3 | COOKE Nicole | 58 |
| 4 | MARTISOVA Julia | 64 |
| 5 | JOHANSSON Emma | 58 |
| 7 | JEULAND-TRANCHANT Pascale | 61 |
| 10 | FERRIER-BRUNEAU Christel | 53 |
| 12 | HOHL Jennifer | 55 |
| 19 | HENRION Ludivine | 60 |
| 20 | NUMAINVILLE Joëlle | 65 |
| 21 | BEVERIDGE Julie | 55 |
| 29 | BURCHENKOVA Alexandra | 67 |
| 30 | BRZEŹNA Paulina | 56 |
| 37 | MARTIN Lucy | 57 |
| 39 | PUČINSKAITĖ Edita | 54 |
| 45 | VŽESNIAUSKAITĖ Modesta | 57 |
| 50 | CANTELE Noemi | 58 |
| 54 | WYMAN Helen | 56 |
| 59 | BRAMMEIER Nikki | 60 |
| 61 | ANTOSHINA Tatiana | 55 |
| 63 | RIABCHENKO Tetyana | 57 |
| 75 | LAWS Sharon | 54 |