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 + 67
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Tacey
1
62 kgFortin
3
55 kgSchweinberger
7
63 kgGreenwood
12
60 kgColes-Lyster
13
61 kgvan der Hulst
18
66 kgAlzini
21
64 kgPeeters
30
54 kgBeuling
33
65 kgDe Wilde
37
62 kgLópez
39
67 kgSels
44
65 kgGrossetête
45
60 kgKuijpers
52
73 kgBerteau
65
57 kgStultiens
74
58 kgThreels
82
58 kgBastiaenssen
91
62 kgFidanza
92
60 kg
1
62 kgFortin
3
55 kgSchweinberger
7
63 kgGreenwood
12
60 kgColes-Lyster
13
61 kgvan der Hulst
18
66 kgAlzini
21
64 kgPeeters
30
54 kgBeuling
33
65 kgDe Wilde
37
62 kgLópez
39
67 kgSels
44
65 kgGrossetête
45
60 kgKuijpers
52
73 kgBerteau
65
57 kgStultiens
74
58 kgThreels
82
58 kgBastiaenssen
91
62 kgFidanza
92
60 kg
Weight (KG) →
Result →
73
54
1
92
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TACEY April | 62 |
| 3 | FORTIN Valentine | 55 |
| 7 | SCHWEINBERGER Kathrin | 63 |
| 12 | GREENWOOD Monica | 60 |
| 13 | COLES-LYSTER Maggie | 61 |
| 18 | VAN DER HULST Amber | 66 |
| 21 | ALZINI Martina | 64 |
| 30 | PEETERS Jinse | 54 |
| 33 | BEULING Femke | 65 |
| 37 | DE WILDE Julie | 62 |
| 39 | LÓPEZ Marga | 67 |
| 44 | SELS Loes | 65 |
| 45 | GROSSETÊTE Maëlle | 60 |
| 52 | KUIJPERS Evy | 73 |
| 65 | BERTEAU Victoire | 57 |
| 74 | STULTIENS Sabrina | 58 |
| 82 | THREELS Yilla | 58 |
| 91 | BASTIAENSSEN Fauve | 62 |
| 92 | FIDANZA Martina | 60 |