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 = -0.7 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Ljungskog
2
57 kgArndt
3
59 kgBeltman
6
68 kgJasinska
12
57 kgBurchenkova
13
67 kgGunnewijk
15
67 kgFahlin
18
63 kgDawidowicz
19
57 kgJungmeier
24
61 kgVisser
47
59 kgMatusiak
54
58 kgAmialiusik
56
53 kgSchachl
57
57 kgMelchers
62
59 kgVillumsen
71
59 kgKoedooder
82
69 kg
2
57 kgArndt
3
59 kgBeltman
6
68 kgJasinska
12
57 kgBurchenkova
13
67 kgGunnewijk
15
67 kgFahlin
18
63 kgDawidowicz
19
57 kgJungmeier
24
61 kgVisser
47
59 kgMatusiak
54
58 kgAmialiusik
56
53 kgSchachl
57
57 kgMelchers
62
59 kgVillumsen
71
59 kgKoedooder
82
69 kg
Weight (KG) →
Result →
69
53
2
82
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LJUNGSKOG Susanne | 57 |
| 3 | ARNDT Judith | 59 |
| 6 | BELTMAN Chantal | 68 |
| 12 | JASINSKA Małgorzata | 57 |
| 13 | BURCHENKOVA Alexandra | 67 |
| 15 | GUNNEWIJK Loes | 67 |
| 18 | FAHLIN Emilia | 63 |
| 19 | DAWIDOWICZ Aleksandra | 57 |
| 24 | JUNGMEIER Bärbel | 61 |
| 47 | VISSER Adrie | 59 |
| 54 | MATUSIAK Bogumiła | 58 |
| 56 | AMIALIUSIK Alena | 53 |
| 57 | SCHACHL Monika | 57 |
| 62 | MELCHERS Mirjam | 59 |
| 71 | VILLUMSEN Linda | 59 |
| 82 | KOEDOODER Vera | 69 |