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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Dygert
2
66 kgScandolara
5
52 kgTeddergreen
7
51 kgPeñuela
8
53 kgPowless
10
59 kgPitel
11
52 kgPoidevin
14
56 kgHall
16
52 kgWilliams
18
66 kgBanks
20
62 kgPrieto
21
54 kgThomas
22
58 kgParra
26
58 kgDuehring
28
54 kgRamirez
29
54 kgClevenger
33
57 kgLuebke
35
54 kgFranz
41
52 kg
2
66 kgScandolara
5
52 kgTeddergreen
7
51 kgPeñuela
8
53 kgPowless
10
59 kgPitel
11
52 kgPoidevin
14
56 kgHall
16
52 kgWilliams
18
66 kgBanks
20
62 kgPrieto
21
54 kgThomas
22
58 kgParra
26
58 kgDuehring
28
54 kgRamirez
29
54 kgClevenger
33
57 kgLuebke
35
54 kgFranz
41
52 kg
Weight (KG) →
Result →
66
51
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DYGERT Chloé | 66 |
| 5 | SCANDOLARA Valentina | 52 |
| 7 | TEDDERGREEN Starla | 51 |
| 8 | PEÑUELA Diana | 53 |
| 10 | POWLESS Shayna | 59 |
| 11 | PITEL Edwige | 52 |
| 14 | POIDEVIN Sara | 56 |
| 16 | HALL Katie | 52 |
| 18 | WILLIAMS Lily | 66 |
| 20 | BANKS Elizabeth | 62 |
| 21 | PRIETO Marcela Elizabeth | 54 |
| 22 | THOMAS Leah | 58 |
| 26 | PARRA Jessica Marcela | 58 |
| 28 | DUEHRING Jasmin | 54 |
| 29 | RAMIREZ Andrea | 54 |
| 33 | CLEVENGER Erica | 57 |
| 35 | LUEBKE Jennifer | 54 |
| 41 | FRANZ Heidi | 52 |