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 = 0.7 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Hall
1
52 kgPoidevin
2
56 kgPitel
3
52 kgPrieto
4
54 kgThomas
5
58 kgPeñuela
6
53 kgDuehring
7
54 kgLuebke
14
54 kgRamirez
18
54 kgDygert
19
66 kgFranz
22
52 kgPowless
24
59 kgBanks
27
62 kgParra
32
58 kgClevenger
34
57 kgWilliams
35
66 kgTeddergreen
42
51 kgScandolara
43
52 kg
1
52 kgPoidevin
2
56 kgPitel
3
52 kgPrieto
4
54 kgThomas
5
58 kgPeñuela
6
53 kgDuehring
7
54 kgLuebke
14
54 kgRamirez
18
54 kgDygert
19
66 kgFranz
22
52 kgPowless
24
59 kgBanks
27
62 kgParra
32
58 kgClevenger
34
57 kgWilliams
35
66 kgTeddergreen
42
51 kgScandolara
43
52 kg
Weight (KG) →
Result →
66
51
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALL Katie | 52 |
| 2 | POIDEVIN Sara | 56 |
| 3 | PITEL Edwige | 52 |
| 4 | PRIETO Marcela Elizabeth | 54 |
| 5 | THOMAS Leah | 58 |
| 6 | PEÑUELA Diana | 53 |
| 7 | DUEHRING Jasmin | 54 |
| 14 | LUEBKE Jennifer | 54 |
| 18 | RAMIREZ Andrea | 54 |
| 19 | DYGERT Chloé | 66 |
| 22 | FRANZ Heidi | 52 |
| 24 | POWLESS Shayna | 59 |
| 27 | BANKS Elizabeth | 62 |
| 32 | PARRA Jessica Marcela | 58 |
| 34 | CLEVENGER Erica | 57 |
| 35 | WILLIAMS Lily | 66 |
| 42 | TEDDERGREEN Starla | 51 |
| 43 | SCANDOLARA Valentina | 52 |