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 = 1.4 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Arndt
1
59 kgLjungskog
2
57 kgJungmeier
10
61 kgBurchenkova
11
67 kgSchachl
12
57 kgMelchers
14
59 kgGunnewijk
16
67 kgBeltman
17
68 kgJasinska
21
57 kgVillumsen
22
59 kgAmialiusik
26
53 kgMatusiak
32
58 kgDawidowicz
48
57 kgVisser
58
59 kgFahlin
75
63 kgKoedooder
86
69 kg
1
59 kgLjungskog
2
57 kgJungmeier
10
61 kgBurchenkova
11
67 kgSchachl
12
57 kgMelchers
14
59 kgGunnewijk
16
67 kgBeltman
17
68 kgJasinska
21
57 kgVillumsen
22
59 kgAmialiusik
26
53 kgMatusiak
32
58 kgDawidowicz
48
57 kgVisser
58
59 kgFahlin
75
63 kgKoedooder
86
69 kg
Weight (KG) →
Result →
69
53
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARNDT Judith | 59 |
| 2 | LJUNGSKOG Susanne | 57 |
| 10 | JUNGMEIER Bärbel | 61 |
| 11 | BURCHENKOVA Alexandra | 67 |
| 12 | SCHACHL Monika | 57 |
| 14 | MELCHERS Mirjam | 59 |
| 16 | GUNNEWIJK Loes | 67 |
| 17 | BELTMAN Chantal | 68 |
| 21 | JASINSKA Małgorzata | 57 |
| 22 | VILLUMSEN Linda | 59 |
| 26 | AMIALIUSIK Alena | 53 |
| 32 | MATUSIAK Bogumiła | 58 |
| 48 | DAWIDOWICZ Aleksandra | 57 |
| 58 | VISSER Adrie | 59 |
| 75 | FAHLIN Emilia | 63 |
| 86 | KOEDOODER Vera | 69 |