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 = 0.3 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vos
1
58 kgOlds
2
54 kgJohansson
3
58 kgScandolara
5
52 kgBronzini
6
54 kgvan Vleuten
8
59 kgvan der Breggen
9
56 kgLichtenberg
10
52 kgGuarischi
11
57 kgAntoshina
12
55 kgWild
13
75 kgFerrand-Prévot
14
53 kgCecchini
15
52 kgStevens
18
55 kgGuderzo
21
54 kgBecker
22
64 kgHosking
24
60 kg
1
58 kgOlds
2
54 kgJohansson
3
58 kgScandolara
5
52 kgBronzini
6
54 kgvan Vleuten
8
59 kgvan der Breggen
9
56 kgLichtenberg
10
52 kgGuarischi
11
57 kgAntoshina
12
55 kgWild
13
75 kgFerrand-Prévot
14
53 kgCecchini
15
52 kgStevens
18
55 kgGuderzo
21
54 kgBecker
22
64 kgHosking
24
60 kg
Weight (KG) →
Result →
75
52
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | OLDS Shelley | 54 |
| 3 | JOHANSSON Emma | 58 |
| 5 | SCANDOLARA Valentina | 52 |
| 6 | BRONZINI Giorgia | 54 |
| 8 | VAN VLEUTEN Annemiek | 59 |
| 9 | VAN DER BREGGEN Anna | 56 |
| 10 | LICHTENBERG Claudia | 52 |
| 11 | GUARISCHI Barbara | 57 |
| 12 | ANTOSHINA Tatiana | 55 |
| 13 | WILD Kirsten | 75 |
| 14 | FERRAND-PRÉVOT Pauline | 53 |
| 15 | CECCHINI Elena | 52 |
| 18 | STEVENS Evelyn | 55 |
| 21 | GUDERZO Tatiana | 54 |
| 22 | BECKER Charlotte | 64 |
| 24 | HOSKING Chloe | 60 |