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 = -2.8 * weight + 209
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Whitten
1
67 kgKoedooder
5
69 kgRamsden
8
62 kgStander
10
57 kgCanuel
13
51 kgKupfernagel
17
68 kgHatteland Lima
30
65 kgKitchen
36
60 kgMustonen
38
58 kgWilleit
54
54 kgMajerus
58
56 kgKirchmann
64
59 kgSöderberg
67
60 kgGilmore
77
56 kgBronzini
79
54 kgDel Rocio Rocha
84
58 kg
1
67 kgKoedooder
5
69 kgRamsden
8
62 kgStander
10
57 kgCanuel
13
51 kgKupfernagel
17
68 kgHatteland Lima
30
65 kgKitchen
36
60 kgMustonen
38
58 kgWilleit
54
54 kgMajerus
58
56 kgKirchmann
64
59 kgSöderberg
67
60 kgGilmore
77
56 kgBronzini
79
54 kgDel Rocio Rocha
84
58 kg
Weight (KG) →
Result →
69
51
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITTEN Tara | 67 |
| 5 | KOEDOODER Vera | 69 |
| 8 | RAMSDEN Denise | 62 |
| 10 | STANDER Marissa | 57 |
| 13 | CANUEL Karol-Ann | 51 |
| 17 | KUPFERNAGEL Hanka | 68 |
| 30 | HATTELAND LIMA Tone | 65 |
| 36 | KITCHEN Lauren | 60 |
| 38 | MUSTONEN Sara | 58 |
| 54 | WILLEIT Cherise | 54 |
| 58 | MAJERUS Christine | 56 |
| 64 | KIRCHMANN Leah | 59 |
| 67 | SÖDERBERG Isabelle | 60 |
| 77 | GILMORE Rochelle | 56 |
| 79 | BRONZINI Giorgia | 54 |
| 84 | DEL ROCIO ROCHA Mayra | 58 |