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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Dygert
1
66 kgPoidevin
2
56 kgHall
3
52 kgThomas
4
58 kgDuehring
6
54 kgPrieto
7
54 kgLuebke
8
54 kgPeñuela
10
53 kgPitel
12
52 kgWilliams
14
66 kgFranz
16
52 kgPowless
17
59 kgRamirez
19
54 kgBanks
22
62 kgParra
27
58 kgTeddergreen
37
51 kgScandolara
44
52 kgClevenger
48
57 kg
1
66 kgPoidevin
2
56 kgHall
3
52 kgThomas
4
58 kgDuehring
6
54 kgPrieto
7
54 kgLuebke
8
54 kgPeñuela
10
53 kgPitel
12
52 kgWilliams
14
66 kgFranz
16
52 kgPowless
17
59 kgRamirez
19
54 kgBanks
22
62 kgParra
27
58 kgTeddergreen
37
51 kgScandolara
44
52 kgClevenger
48
57 kg
Weight (KG) →
Result →
66
51
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYGERT Chloé | 66 |
| 2 | POIDEVIN Sara | 56 |
| 3 | HALL Katie | 52 |
| 4 | THOMAS Leah | 58 |
| 6 | DUEHRING Jasmin | 54 |
| 7 | PRIETO Marcela Elizabeth | 54 |
| 8 | LUEBKE Jennifer | 54 |
| 10 | PEÑUELA Diana | 53 |
| 12 | PITEL Edwige | 52 |
| 14 | WILLIAMS Lily | 66 |
| 16 | FRANZ Heidi | 52 |
| 17 | POWLESS Shayna | 59 |
| 19 | RAMIREZ Andrea | 54 |
| 22 | BANKS Elizabeth | 62 |
| 27 | PARRA Jessica Marcela | 58 |
| 37 | TEDDERGREEN Starla | 51 |
| 44 | SCANDOLARA Valentina | 52 |
| 48 | CLEVENGER Erica | 57 |