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.
van Vleuten
1
59 kgVos
2
58 kgCooke
3
58 kgAntoshina
4
55 kgBurchenkova
5
67 kgVysotska
6
55 kgBrzeźna
11
56 kgPankova
14
52 kgMartisova
16
64 kgAmialiusik
20
53 kgBrennauer
24
63 kgMartin
29
57 kgPavlukhina
38
68 kgHannes
46
51 kgRyan
55
59 kgMoberg
56
56 kgTrott
62
56 kg
1
59 kgVos
2
58 kgCooke
3
58 kgAntoshina
4
55 kgBurchenkova
5
67 kgVysotska
6
55 kgBrzeźna
11
56 kgPankova
14
52 kgMartisova
16
64 kgAmialiusik
20
53 kgBrennauer
24
63 kgMartin
29
57 kgPavlukhina
38
68 kgHannes
46
51 kgRyan
55
59 kgMoberg
56
56 kgTrott
62
56 kg
Weight (KG) →
Result →
68
51
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN VLEUTEN Annemiek | 59 |
| 2 | VOS Marianne | 58 |
| 3 | COOKE Nicole | 58 |
| 4 | ANTOSHINA Tatiana | 55 |
| 5 | BURCHENKOVA Alexandra | 67 |
| 6 | VYSOTSKA Ievgeniia | 55 |
| 11 | BRZEŹNA Paulina | 56 |
| 14 | PANKOVA Larisa | 52 |
| 16 | MARTISOVA Julia | 64 |
| 20 | AMIALIUSIK Alena | 53 |
| 24 | BRENNAUER Lisa | 63 |
| 29 | MARTIN Lucy | 57 |
| 38 | PAVLUKHINA Olena | 68 |
| 46 | HANNES Kaat | 51 |
| 55 | RYAN Kendall | 59 |
| 56 | MOBERG Emilie | 56 |
| 62 | TROTT Laura | 56 |