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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Arensman
1
69.5 kgBuitrago
2
59 kgMartinez
3
52 kgQuinn
4
67 kgUijtdebroeks
5
68 kgTesfatsion
6
60 kgLipowitz
7
68 kgKulset
8
58 kgGonzález
9
60 kgThompson
10
66 kgArrieta
11
64 kgIribar
12
64 kgPira
13
59 kgReinderink
14
67 kgBrenner
15
59 kgHollmann
16
70 kgEngelhardt
17
68 kgEl Gouzi
19
58 kg
1
69.5 kgBuitrago
2
59 kgMartinez
3
52 kgQuinn
4
67 kgUijtdebroeks
5
68 kgTesfatsion
6
60 kgLipowitz
7
68 kgKulset
8
58 kgGonzález
9
60 kgThompson
10
66 kgArrieta
11
64 kgIribar
12
64 kgPira
13
59 kgReinderink
14
67 kgBrenner
15
59 kgHollmann
16
70 kgEngelhardt
17
68 kgEl Gouzi
19
58 kg
Weight (KG) →
Result →
70
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARENSMAN Thymen | 69.5 |
| 2 | BUITRAGO Santiago | 59 |
| 3 | MARTINEZ Lenny | 52 |
| 4 | QUINN Sean | 67 |
| 5 | UIJTDEBROEKS Cian | 68 |
| 6 | TESFATSION Natnael | 60 |
| 7 | LIPOWITZ Florian | 68 |
| 8 | KULSET Magnus | 58 |
| 9 | GONZÁLEZ Abner | 60 |
| 10 | THOMPSON Reuben | 66 |
| 11 | ARRIETA Igor | 64 |
| 12 | IRIBAR Unai | 64 |
| 13 | PIRA Yesid Albeiro | 59 |
| 14 | REINDERINK Pepijn | 67 |
| 15 | BRENNER Marco | 59 |
| 16 | HOLLMANN Juri | 70 |
| 17 | ENGELHARDT Felix | 68 |
| 19 | EL GOUZI Omar | 58 |