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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Zijlaard-van Moorsel
1
62 kgZabirova
2
65 kgKupfernagel
3
68 kgArndt
8
59 kgCappellotto
13
60 kgMillward
14
56 kgMarsal
15
53 kgSundstedt
17
52 kgMelchers
19
59 kgHeeb
20
51 kgBrems-Kurreck
22
57 kgMatusiak
24
58 kgPučinskaitė
25
54 kgStahurskaya
31
69 kgVilajosana
40
57 kg
1
62 kgZabirova
2
65 kgKupfernagel
3
68 kgArndt
8
59 kgCappellotto
13
60 kgMillward
14
56 kgMarsal
15
53 kgSundstedt
17
52 kgMelchers
19
59 kgHeeb
20
51 kgBrems-Kurreck
22
57 kgMatusiak
24
58 kgPučinskaitė
25
54 kgStahurskaya
31
69 kgVilajosana
40
57 kg
Weight (KG) →
Result →
69
51
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIJLAARD-VAN MOORSEL Leontien | 62 |
| 2 | ZABIROVA Zulfiya | 65 |
| 3 | KUPFERNAGEL Hanka | 68 |
| 8 | ARNDT Judith | 59 |
| 13 | CAPPELLOTTO Alessandra | 60 |
| 14 | MILLWARD Anna | 56 |
| 15 | MARSAL Catherine | 53 |
| 17 | SUNDSTEDT Pia | 52 |
| 19 | MELCHERS Mirjam | 59 |
| 20 | HEEB Barbara | 51 |
| 22 | BREMS-KURRECK Karen | 57 |
| 24 | MATUSIAK Bogumiła | 58 |
| 25 | PUČINSKAITĖ Edita | 54 |
| 31 | STAHURSKAYA Zinaida | 69 |
| 40 | VILAJOSANA Marta | 57 |