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 = -1.3 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Melchers
2
59 kgCooke
5
58 kgBeltman
9
68 kgGunnewijk
19
67 kgKoedooder
22
69 kgWild
26
75 kgArndt
29
59 kgBecker
33
64 kgWyman
39
56 kgvan den Brand
40
51 kgVillumsen
42
59 kgVžesniauskaitė
43
57 kgDoppmann
49
55 kgRossner
62
64 kgBronzini
64
54 kgSchleicher
66
58 kgGilmore
80
56 kgLindberg
99
63 kgHenrion
110
60 kg
2
59 kgCooke
5
58 kgBeltman
9
68 kgGunnewijk
19
67 kgKoedooder
22
69 kgWild
26
75 kgArndt
29
59 kgBecker
33
64 kgWyman
39
56 kgvan den Brand
40
51 kgVillumsen
42
59 kgVžesniauskaitė
43
57 kgDoppmann
49
55 kgRossner
62
64 kgBronzini
64
54 kgSchleicher
66
58 kgGilmore
80
56 kgLindberg
99
63 kgHenrion
110
60 kg
Weight (KG) →
Result →
75
51
2
110
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MELCHERS Mirjam | 59 |
| 5 | COOKE Nicole | 58 |
| 9 | BELTMAN Chantal | 68 |
| 19 | GUNNEWIJK Loes | 67 |
| 22 | KOEDOODER Vera | 69 |
| 26 | WILD Kirsten | 75 |
| 29 | ARNDT Judith | 59 |
| 33 | BECKER Charlotte | 64 |
| 39 | WYMAN Helen | 56 |
| 40 | VAN DEN BRAND Daphny | 51 |
| 42 | VILLUMSEN Linda | 59 |
| 43 | VŽESNIAUSKAITĖ Modesta | 57 |
| 49 | DOPPMANN Priska | 55 |
| 62 | ROSSNER Petra | 64 |
| 64 | BRONZINI Giorgia | 54 |
| 66 | SCHLEICHER Regina | 58 |
| 80 | GILMORE Rochelle | 56 |
| 99 | LINDBERG Madeleine | 63 |
| 110 | HENRION Ludivine | 60 |