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 + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Wild
1
75 kgHosking
2
60 kgOlds
3
54 kgDeignan
4
57 kgPieters
5
58 kgJohansson
6
58 kgvan der Breggen
7
56 kgD'hoore
8
63 kgBecker
9
64 kgGuarischi
10
57 kgHoskins
13
64 kgJeuland-Tranchant
14
61 kgCecchini
15
52 kgZabelinskaya
16
52 kgSlappendel
17
67 kgPolspoel
18
59 kgGunnewijk
19
67 kg
1
75 kgHosking
2
60 kgOlds
3
54 kgDeignan
4
57 kgPieters
5
58 kgJohansson
6
58 kgvan der Breggen
7
56 kgD'hoore
8
63 kgBecker
9
64 kgGuarischi
10
57 kgHoskins
13
64 kgJeuland-Tranchant
14
61 kgCecchini
15
52 kgZabelinskaya
16
52 kgSlappendel
17
67 kgPolspoel
18
59 kgGunnewijk
19
67 kg
Weight (KG) →
Result →
75
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | HOSKING Chloe | 60 |
| 3 | OLDS Shelley | 54 |
| 4 | DEIGNAN Elizabeth | 57 |
| 5 | PIETERS Amy | 58 |
| 6 | JOHANSSON Emma | 58 |
| 7 | VAN DER BREGGEN Anna | 56 |
| 8 | D'HOORE Jolien | 63 |
| 9 | BECKER Charlotte | 64 |
| 10 | GUARISCHI Barbara | 57 |
| 13 | HOSKINS Melissa | 64 |
| 14 | JEULAND-TRANCHANT Pascale | 61 |
| 15 | CECCHINI Elena | 52 |
| 16 | ZABELINSKAYA Olga | 52 |
| 17 | SLAPPENDEL Iris | 67 |
| 18 | POLSPOEL Maaike | 59 |
| 19 | GUNNEWIJK Loes | 67 |