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 = -0.4 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Vos
1
58 kgCooke
2
58 kgMartisova
4
64 kgvan Vleuten
11
59 kgMartin
13
57 kgRyan
14
59 kgBrzeźna
15
56 kgBrennauer
17
63 kgAntoshina
19
55 kgVysotska
22
55 kgMoberg
23
56 kgBurchenkova
25
67 kgHannes
35
51 kgPankova
43
52 kgTrott
52
56 kgAmialiusik
59
53 kgPavlukhina
64
68 kg
1
58 kgCooke
2
58 kgMartisova
4
64 kgvan Vleuten
11
59 kgMartin
13
57 kgRyan
14
59 kgBrzeźna
15
56 kgBrennauer
17
63 kgAntoshina
19
55 kgVysotska
22
55 kgMoberg
23
56 kgBurchenkova
25
67 kgHannes
35
51 kgPankova
43
52 kgTrott
52
56 kgAmialiusik
59
53 kgPavlukhina
64
68 kg
Weight (KG) →
Result →
68
51
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | COOKE Nicole | 58 |
| 4 | MARTISOVA Julia | 64 |
| 11 | VAN VLEUTEN Annemiek | 59 |
| 13 | MARTIN Lucy | 57 |
| 14 | RYAN Kendall | 59 |
| 15 | BRZEŹNA Paulina | 56 |
| 17 | BRENNAUER Lisa | 63 |
| 19 | ANTOSHINA Tatiana | 55 |
| 22 | VYSOTSKA Ievgeniia | 55 |
| 23 | MOBERG Emilie | 56 |
| 25 | BURCHENKOVA Alexandra | 67 |
| 35 | HANNES Kaat | 51 |
| 43 | PANKOVA Larisa | 52 |
| 52 | TROTT Laura | 56 |
| 59 | AMIALIUSIK Alena | 53 |
| 64 | PAVLUKHINA Olena | 68 |