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 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Vos
1
58 kgGuderzo
2
54 kgWild
3
75 kgBronzini
5
54 kgLichtenberg
7
52 kgTreier
10
62 kgJohansson
12
58 kgBastianelli
13
60 kgCantele
14
58 kgMelchers
16
59 kgMartisova
17
64 kgBaccaille
18
61 kgVillumsen
19
59 kgPučinskaitė
20
54 kgScandolara
22
52 kgKupfernagel
23
68 kg
1
58 kgGuderzo
2
54 kgWild
3
75 kgBronzini
5
54 kgLichtenberg
7
52 kgTreier
10
62 kgJohansson
12
58 kgBastianelli
13
60 kgCantele
14
58 kgMelchers
16
59 kgMartisova
17
64 kgBaccaille
18
61 kgVillumsen
19
59 kgPučinskaitė
20
54 kgScandolara
22
52 kgKupfernagel
23
68 kg
Weight (KG) →
Result →
75
52
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | GUDERZO Tatiana | 54 |
| 3 | WILD Kirsten | 75 |
| 5 | BRONZINI Giorgia | 54 |
| 7 | LICHTENBERG Claudia | 52 |
| 10 | TREIER Grete | 62 |
| 12 | JOHANSSON Emma | 58 |
| 13 | BASTIANELLI Marta | 60 |
| 14 | CANTELE Noemi | 58 |
| 16 | MELCHERS Mirjam | 59 |
| 17 | MARTISOVA Julia | 64 |
| 18 | BACCAILLE Monia | 61 |
| 19 | VILLUMSEN Linda | 59 |
| 20 | PUČINSKAITĖ Edita | 54 |
| 22 | SCANDOLARA Valentina | 52 |
| 23 | KUPFERNAGEL Hanka | 68 |