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 = 0.8 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Bronzini
1
54 kgMustonen
2
58 kgKupfernagel
3
68 kgGilmore
4
56 kgWilleit
8
54 kgKitchen
15
60 kgSöderberg
18
60 kgKoedooder
27
69 kgMajerus
29
56 kgKirchmann
32
59 kgDel Rocio Rocha
38
58 kgNumainville
44
65 kgStander
45
57 kgHatteland Lima
46
65 kgRamsden
52
62 kgCanuel
56
51 kgWhitten
65
67 kg
1
54 kgMustonen
2
58 kgKupfernagel
3
68 kgGilmore
4
56 kgWilleit
8
54 kgKitchen
15
60 kgSöderberg
18
60 kgKoedooder
27
69 kgMajerus
29
56 kgKirchmann
32
59 kgDel Rocio Rocha
38
58 kgNumainville
44
65 kgStander
45
57 kgHatteland Lima
46
65 kgRamsden
52
62 kgCanuel
56
51 kgWhitten
65
67 kg
Weight (KG) →
Result →
69
51
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | MUSTONEN Sara | 58 |
| 3 | KUPFERNAGEL Hanka | 68 |
| 4 | GILMORE Rochelle | 56 |
| 8 | WILLEIT Cherise | 54 |
| 15 | KITCHEN Lauren | 60 |
| 18 | SÖDERBERG Isabelle | 60 |
| 27 | KOEDOODER Vera | 69 |
| 29 | MAJERUS Christine | 56 |
| 32 | KIRCHMANN Leah | 59 |
| 38 | DEL ROCIO ROCHA Mayra | 58 |
| 44 | NUMAINVILLE Joëlle | 65 |
| 45 | STANDER Marissa | 57 |
| 46 | HATTELAND LIMA Tone | 65 |
| 52 | RAMSDEN Denise | 62 |
| 56 | CANUEL Karol-Ann | 51 |
| 65 | WHITTEN Tara | 67 |