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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Stevens
1
55 kgGuderzo
2
54 kgAntoshina
3
55 kgLongo Borghini
4
59 kgWilliams
5
60 kgJohansson
6
58 kgMarche
7
58 kgSaarelainen
13
58 kgFerrier-Bruneau
18
53 kgJasinska
19
57 kgScandolara
22
52 kgBrzeźna
24
56 kgBoyarskaya
25
67 kgPieters
28
58 kgBatagelj
31
53 kgKasper
34
59 kgGuarischi
37
57 kgCantele
40
58 kgBrennauer
41
63 kgHanselmann
47
55 kg
1
55 kgGuderzo
2
54 kgAntoshina
3
55 kgLongo Borghini
4
59 kgWilliams
5
60 kgJohansson
6
58 kgMarche
7
58 kgSaarelainen
13
58 kgFerrier-Bruneau
18
53 kgJasinska
19
57 kgScandolara
22
52 kgBrzeźna
24
56 kgBoyarskaya
25
67 kgPieters
28
58 kgBatagelj
31
53 kgKasper
34
59 kgGuarischi
37
57 kgCantele
40
58 kgBrennauer
41
63 kgHanselmann
47
55 kg
Weight (KG) →
Result →
67
52
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVENS Evelyn | 55 |
| 2 | GUDERZO Tatiana | 54 |
| 3 | ANTOSHINA Tatiana | 55 |
| 4 | LONGO BORGHINI Elisa | 59 |
| 5 | WILLIAMS Georgia | 60 |
| 6 | JOHANSSON Emma | 58 |
| 7 | MARCHE Shara | 58 |
| 13 | SAARELAINEN Sari | 58 |
| 18 | FERRIER-BRUNEAU Christel | 53 |
| 19 | JASINSKA Małgorzata | 57 |
| 22 | SCANDOLARA Valentina | 52 |
| 24 | BRZEŹNA Paulina | 56 |
| 25 | BOYARSKAYA Natalia | 67 |
| 28 | PIETERS Amy | 58 |
| 31 | BATAGELJ Polona | 53 |
| 34 | KASPER Romy | 59 |
| 37 | GUARISCHI Barbara | 57 |
| 40 | CANTELE Noemi | 58 |
| 41 | BRENNAUER Lisa | 63 |
| 47 | HANSELMANN Nicole | 55 |