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 = 0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Kupfernagel
1
68 kgMelchers
2
59 kgStiajkina
5
51 kgMillward
6
56 kgFeldhahn
7
57 kgLindberg
8
63 kgBeltman
12
68 kgLjungskog
15
57 kgSalvetat
21
55 kgHobson
22
55 kgLe Floc'h
24
59 kgHughes
29
72 kgTeutenberg
30
64 kgHohlfeld
32
57 kgRossner
42
64 kgVonckx
43
56 kgArndt
45
59 kg
1
68 kgMelchers
2
59 kgStiajkina
5
51 kgMillward
6
56 kgFeldhahn
7
57 kgLindberg
8
63 kgBeltman
12
68 kgLjungskog
15
57 kgSalvetat
21
55 kgHobson
22
55 kgLe Floc'h
24
59 kgHughes
29
72 kgTeutenberg
30
64 kgHohlfeld
32
57 kgRossner
42
64 kgVonckx
43
56 kgArndt
45
59 kg
Weight (KG) →
Result →
72
51
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUPFERNAGEL Hanka | 68 |
| 2 | MELCHERS Mirjam | 59 |
| 5 | STIAJKINA Tatiana | 51 |
| 6 | MILLWARD Anna | 56 |
| 7 | FELDHAHN Juanita | 57 |
| 8 | LINDBERG Madeleine | 63 |
| 12 | BELTMAN Chantal | 68 |
| 15 | LJUNGSKOG Susanne | 57 |
| 21 | SALVETAT Maryline | 55 |
| 22 | HOBSON Leigh | 55 |
| 24 | LE FLOC'H Magali | 59 |
| 29 | HUGHES Clara | 72 |
| 30 | TEUTENBERG Ina-Yoko | 64 |
| 32 | HOHLFELD Vera | 57 |
| 42 | ROSSNER Petra | 64 |
| 43 | VONCKX Vanja | 56 |
| 45 | ARNDT Judith | 59 |