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 - 9
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Scandolara
2
52 kgJackson
6
63 kgKiesanowski
8
56 kgThomas
11
58 kgDoebel-Hickok
12
51 kgStephens
13
55 kgRooijakkers
21
58 kgDrexel
22
62 kgRodriguez
26
58 kgGoldman
29
64 kgSanguineti
30
61 kgSlappendel
31
67 kgHall
32
52 kgPattaro
35
60 kgPeñuela
36
53 kgValsecchi
50
58 kgBreck
57
59 kgSaifutdinova
61
57 kg
2
52 kgJackson
6
63 kgKiesanowski
8
56 kgThomas
11
58 kgDoebel-Hickok
12
51 kgStephens
13
55 kgRooijakkers
21
58 kgDrexel
22
62 kgRodriguez
26
58 kgGoldman
29
64 kgSanguineti
30
61 kgSlappendel
31
67 kgHall
32
52 kgPattaro
35
60 kgPeñuela
36
53 kgValsecchi
50
58 kgBreck
57
59 kgSaifutdinova
61
57 kg
Weight (KG) →
Result →
67
51
2
61
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCANDOLARA Valentina | 52 |
| 6 | JACKSON Alison | 63 |
| 8 | KIESANOWSKI Joanne | 56 |
| 11 | THOMAS Leah | 58 |
| 12 | DOEBEL-HICKOK Krista | 51 |
| 13 | STEPHENS Lauren | 55 |
| 21 | ROOIJAKKERS Pauliena | 58 |
| 22 | DREXEL Ingrid | 62 |
| 26 | RODRIGUEZ Carolina | 58 |
| 29 | GOLDMAN Lindsay | 64 |
| 30 | SANGUINETI Ilaria | 61 |
| 31 | SLAPPENDEL Iris | 67 |
| 32 | HALL Katie | 52 |
| 35 | PATTARO Francesca | 60 |
| 36 | PEÑUELA Diana | 53 |
| 50 | VALSECCHI Silvia | 58 |
| 57 | BRECK Holly | 59 |
| 61 | SAIFUTDINOVA Natalya | 57 |