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 = 1.5 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Marche
1
58 kgJohansson
2
58 kgGuderzo
4
54 kgScandolara
5
52 kgStevens
6
55 kgAntoshina
7
55 kgLongo Borghini
8
59 kgWilliams
11
60 kgFerrier-Bruneau
16
53 kgSaarelainen
20
58 kgJasinska
21
57 kgPieters
22
58 kgBatagelj
28
53 kgKasper
29
59 kgBrzeźna
37
56 kgGuarischi
38
57 kgBoyarskaya
39
67 kgCantele
40
58 kgBrennauer
41
63 kgHanselmann
43
55 kg
1
58 kgJohansson
2
58 kgGuderzo
4
54 kgScandolara
5
52 kgStevens
6
55 kgAntoshina
7
55 kgLongo Borghini
8
59 kgWilliams
11
60 kgFerrier-Bruneau
16
53 kgSaarelainen
20
58 kgJasinska
21
57 kgPieters
22
58 kgBatagelj
28
53 kgKasper
29
59 kgBrzeźna
37
56 kgGuarischi
38
57 kgBoyarskaya
39
67 kgCantele
40
58 kgBrennauer
41
63 kgHanselmann
43
55 kg
Weight (KG) →
Result →
67
52
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCHE Shara | 58 |
| 2 | JOHANSSON Emma | 58 |
| 4 | GUDERZO Tatiana | 54 |
| 5 | SCANDOLARA Valentina | 52 |
| 6 | STEVENS Evelyn | 55 |
| 7 | ANTOSHINA Tatiana | 55 |
| 8 | LONGO BORGHINI Elisa | 59 |
| 11 | WILLIAMS Georgia | 60 |
| 16 | FERRIER-BRUNEAU Christel | 53 |
| 20 | SAARELAINEN Sari | 58 |
| 21 | JASINSKA Małgorzata | 57 |
| 22 | PIETERS Amy | 58 |
| 28 | BATAGELJ Polona | 53 |
| 29 | KASPER Romy | 59 |
| 37 | BRZEŹNA Paulina | 56 |
| 38 | GUARISCHI Barbara | 57 |
| 39 | BOYARSKAYA Natalia | 67 |
| 40 | CANTELE Noemi | 58 |
| 41 | BRENNAUER Lisa | 63 |
| 43 | HANSELMANN Nicole | 55 |