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 = -1.4 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Ljungskog
1
57 kgCooke
2
58 kgLe Floc'h
7
59 kgWild
9
75 kgWood
11
56 kgVisser
14
59 kgMeng
16
65 kgGunnewijk
20
67 kgHohl
21
55 kgKiesanowski
22
56 kgVillumsen
28
59 kgZabirova
30
65 kgJohansson
32
58 kgPučinskaitė
49
54 kgDoppmann
51
55 kgWyman
55
56 kgSoeder
56
52 kgSchleicher
62
58 kgGuderzo
65
54 kgTeutenberg
66
64 kgArndt
67
59 kgMustonen
74
58 kg
1
57 kgCooke
2
58 kgLe Floc'h
7
59 kgWild
9
75 kgWood
11
56 kgVisser
14
59 kgMeng
16
65 kgGunnewijk
20
67 kgHohl
21
55 kgKiesanowski
22
56 kgVillumsen
28
59 kgZabirova
30
65 kgJohansson
32
58 kgPučinskaitė
49
54 kgDoppmann
51
55 kgWyman
55
56 kgSoeder
56
52 kgSchleicher
62
58 kgGuderzo
65
54 kgTeutenberg
66
64 kgArndt
67
59 kgMustonen
74
58 kg
Weight (KG) →
Result →
75
52
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGSKOG Susanne | 57 |
| 2 | COOKE Nicole | 58 |
| 7 | LE FLOC'H Magali | 59 |
| 9 | WILD Kirsten | 75 |
| 11 | WOOD Oenone | 56 |
| 14 | VISSER Adrie | 59 |
| 16 | MENG Lang | 65 |
| 20 | GUNNEWIJK Loes | 67 |
| 21 | HOHL Jennifer | 55 |
| 22 | KIESANOWSKI Joanne | 56 |
| 28 | VILLUMSEN Linda | 59 |
| 30 | ZABIROVA Zulfiya | 65 |
| 32 | JOHANSSON Emma | 58 |
| 49 | PUČINSKAITĖ Edita | 54 |
| 51 | DOPPMANN Priska | 55 |
| 55 | WYMAN Helen | 56 |
| 56 | SOEDER Christiane | 52 |
| 62 | SCHLEICHER Regina | 58 |
| 65 | GUDERZO Tatiana | 54 |
| 66 | TEUTENBERG Ina-Yoko | 64 |
| 67 | ARNDT Judith | 59 |
| 74 | MUSTONEN Sara | 58 |