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 + 64
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Melchers
1
59 kgLjungskog
2
57 kgBaccaille
3
61 kgBronzini
5
54 kgLe Floc'h
6
59 kgCarrigan
21
60 kgVillumsen
24
59 kgFernandes
29
54 kgWild
30
75 kgGrassi
32
56 kgArndt
37
59 kgGuderzo
38
54 kgCorneo
39
54 kgVžesniauskaitė
40
57 kgPučinskaitė
43
54 kgSoeder
45
52 kgSchachl
48
57 kg
1
59 kgLjungskog
2
57 kgBaccaille
3
61 kgBronzini
5
54 kgLe Floc'h
6
59 kgCarrigan
21
60 kgVillumsen
24
59 kgFernandes
29
54 kgWild
30
75 kgGrassi
32
56 kgArndt
37
59 kgGuderzo
38
54 kgCorneo
39
54 kgVžesniauskaitė
40
57 kgPučinskaitė
43
54 kgSoeder
45
52 kgSchachl
48
57 kg
Weight (KG) →
Result →
75
52
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MELCHERS Mirjam | 59 |
| 2 | LJUNGSKOG Susanne | 57 |
| 3 | BACCAILLE Monia | 61 |
| 5 | BRONZINI Giorgia | 54 |
| 6 | LE FLOC'H Magali | 59 |
| 21 | CARRIGAN Sara | 60 |
| 24 | VILLUMSEN Linda | 59 |
| 29 | FERNANDES Clemilda | 54 |
| 30 | WILD Kirsten | 75 |
| 32 | GRASSI Giuseppina | 56 |
| 37 | ARNDT Judith | 59 |
| 38 | GUDERZO Tatiana | 54 |
| 39 | CORNEO Sigrid | 54 |
| 40 | VŽESNIAUSKAITĖ Modesta | 57 |
| 43 | PUČINSKAITĖ Edita | 54 |
| 45 | SOEDER Christiane | 52 |
| 48 | SCHACHL Monika | 57 |