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 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Schleicher
1
58 kgCooke
2
58 kgCorneo
4
54 kgArndt
7
59 kgVilajosana
13
57 kgLichtenberg
14
52 kgPučinskaitė
16
54 kgGrassi
19
56 kgRowe
21
65 kgFerrier-Bruneau
24
53 kgHohl
30
55 kgVžesniauskaitė
33
57 kgAbbott
36
52 kgKasper
43
59 kgAndruk
50
56 kgSandig
54
62 kgLechner
59
52 kgBoyarskaya
60
67 kg
1
58 kgCooke
2
58 kgCorneo
4
54 kgArndt
7
59 kgVilajosana
13
57 kgLichtenberg
14
52 kgPučinskaitė
16
54 kgGrassi
19
56 kgRowe
21
65 kgFerrier-Bruneau
24
53 kgHohl
30
55 kgVžesniauskaitė
33
57 kgAbbott
36
52 kgKasper
43
59 kgAndruk
50
56 kgSandig
54
62 kgLechner
59
52 kgBoyarskaya
60
67 kg
Weight (KG) →
Result →
67
52
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEICHER Regina | 58 |
| 2 | COOKE Nicole | 58 |
| 4 | CORNEO Sigrid | 54 |
| 7 | ARNDT Judith | 59 |
| 13 | VILAJOSANA Marta | 57 |
| 14 | LICHTENBERG Claudia | 52 |
| 16 | PUČINSKAITĖ Edita | 54 |
| 19 | GRASSI Giuseppina | 56 |
| 21 | ROWE Danielle | 65 |
| 24 | FERRIER-BRUNEAU Christel | 53 |
| 30 | HOHL Jennifer | 55 |
| 33 | VŽESNIAUSKAITĖ Modesta | 57 |
| 36 | ABBOTT Mara | 52 |
| 43 | KASPER Romy | 59 |
| 50 | ANDRUK Alona | 56 |
| 54 | SANDIG Madeleine | 62 |
| 59 | LECHNER Eva | 52 |
| 60 | BOYARSKAYA Natalia | 67 |