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 + 35
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Wood
2
56 kgMelchers
3
59 kgWild
7
75 kgHenrion
9
60 kgCorneo
18
54 kgDe Vocht
19
61 kgGuderzo
24
54 kgBrammeier
25
60 kgJasinska
26
57 kgGrassi
28
56 kgSandig
31
62 kgWyman
35
56 kgSchleicher
36
58 kgStahurskaya
42
69 kgVisser
45
59 kgVillumsen
49
59 kgBrzeźna
50
56 kgGarcía
58
54 kgLindberg
65
63 kgBecker
67
64 kg
2
56 kgMelchers
3
59 kgWild
7
75 kgHenrion
9
60 kgCorneo
18
54 kgDe Vocht
19
61 kgGuderzo
24
54 kgBrammeier
25
60 kgJasinska
26
57 kgGrassi
28
56 kgSandig
31
62 kgWyman
35
56 kgSchleicher
36
58 kgStahurskaya
42
69 kgVisser
45
59 kgVillumsen
49
59 kgBrzeźna
50
56 kgGarcía
58
54 kgLindberg
65
63 kgBecker
67
64 kg
Weight (KG) →
Result →
75
54
2
67
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WOOD Oenone | 56 |
| 3 | MELCHERS Mirjam | 59 |
| 7 | WILD Kirsten | 75 |
| 9 | HENRION Ludivine | 60 |
| 18 | CORNEO Sigrid | 54 |
| 19 | DE VOCHT Liesbet | 61 |
| 24 | GUDERZO Tatiana | 54 |
| 25 | BRAMMEIER Nikki | 60 |
| 26 | JASINSKA Małgorzata | 57 |
| 28 | GRASSI Giuseppina | 56 |
| 31 | SANDIG Madeleine | 62 |
| 35 | WYMAN Helen | 56 |
| 36 | SCHLEICHER Regina | 58 |
| 42 | STAHURSKAYA Zinaida | 69 |
| 45 | VISSER Adrie | 59 |
| 49 | VILLUMSEN Linda | 59 |
| 50 | BRZEŹNA Paulina | 56 |
| 58 | GARCÍA Evelyn | 54 |
| 65 | LINDBERG Madeleine | 63 |
| 67 | BECKER Charlotte | 64 |