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 = 1.2 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Peñuela
1
53 kgHall
2
52 kgThomas
3
58 kgDuehring
4
54 kgPrieto
6
54 kgPitel
7
52 kgLuebke
8
54 kgPoidevin
10
56 kgPowless
11
59 kgDygert
18
66 kgRamirez
21
54 kgFranz
23
52 kgParra
24
58 kgTeddergreen
30
51 kgBanks
40
62 kgClevenger
43
57 kgScandolara
44
52 kgWilliams
46
66 kg
1
53 kgHall
2
52 kgThomas
3
58 kgDuehring
4
54 kgPrieto
6
54 kgPitel
7
52 kgLuebke
8
54 kgPoidevin
10
56 kgPowless
11
59 kgDygert
18
66 kgRamirez
21
54 kgFranz
23
52 kgParra
24
58 kgTeddergreen
30
51 kgBanks
40
62 kgClevenger
43
57 kgScandolara
44
52 kgWilliams
46
66 kg
Weight (KG) →
Result →
66
51
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEÑUELA Diana | 53 |
| 2 | HALL Katie | 52 |
| 3 | THOMAS Leah | 58 |
| 4 | DUEHRING Jasmin | 54 |
| 6 | PRIETO Marcela Elizabeth | 54 |
| 7 | PITEL Edwige | 52 |
| 8 | LUEBKE Jennifer | 54 |
| 10 | POIDEVIN Sara | 56 |
| 11 | POWLESS Shayna | 59 |
| 18 | DYGERT Chloé | 66 |
| 21 | RAMIREZ Andrea | 54 |
| 23 | FRANZ Heidi | 52 |
| 24 | PARRA Jessica Marcela | 58 |
| 30 | TEDDERGREEN Starla | 51 |
| 40 | BANKS Elizabeth | 62 |
| 43 | CLEVENGER Erica | 57 |
| 44 | SCANDOLARA Valentina | 52 |
| 46 | WILLIAMS Lily | 66 |