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.
Arndt
1
59 kgLjungskog
2
57 kgBeltman
3
68 kgArmstrong
4
58 kgGuderzo
5
54 kgLichtenberg
7
52 kgGunnewijk
8
67 kgBronzini
12
54 kgVos
14
58 kgWood
17
56 kgAndersen
18
68 kgvan Dijk
28
71 kgHohl
31
55 kgVillumsen
33
59 kgWild
36
75 kgBastianelli
38
60 kgSlappendel
41
67 kgSandig
45
62 kgDoppmann
47
55 kg
1
59 kgLjungskog
2
57 kgBeltman
3
68 kgArmstrong
4
58 kgGuderzo
5
54 kgLichtenberg
7
52 kgGunnewijk
8
67 kgBronzini
12
54 kgVos
14
58 kgWood
17
56 kgAndersen
18
68 kgvan Dijk
28
71 kgHohl
31
55 kgVillumsen
33
59 kgWild
36
75 kgBastianelli
38
60 kgSlappendel
41
67 kgSandig
45
62 kgDoppmann
47
55 kg
Weight (KG) →
Result →
75
52
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARNDT Judith | 59 |
| 2 | LJUNGSKOG Susanne | 57 |
| 3 | BELTMAN Chantal | 68 |
| 4 | ARMSTRONG Kristin | 58 |
| 5 | GUDERZO Tatiana | 54 |
| 7 | LICHTENBERG Claudia | 52 |
| 8 | GUNNEWIJK Loes | 67 |
| 12 | BRONZINI Giorgia | 54 |
| 14 | VOS Marianne | 58 |
| 17 | WOOD Oenone | 56 |
| 18 | ANDERSEN Mette | 68 |
| 28 | VAN DIJK Ellen | 71 |
| 31 | HOHL Jennifer | 55 |
| 33 | VILLUMSEN Linda | 59 |
| 36 | WILD Kirsten | 75 |
| 38 | BASTIANELLI Marta | 60 |
| 41 | SLAPPENDEL Iris | 67 |
| 45 | SANDIG Madeleine | 62 |
| 47 | DOPPMANN Priska | 55 |