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 + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Tzortzakis
1
80 kgMilán
2
67 kgVolkers
5
67 kgTiryaki
6
67 kgEvrard
8
65 kgGandin
11
69 kgJoseph
13
71 kgZahiri
16
57 kgStockman
18
67 kgÖzgür
20
75 kgBergström Frisk
21
70 kgGuzmán
23
69 kgTabellion
26
72 kgDe Rooze
30
62 kgLudvigsson
31
71 kgBjerkestrand Haugsvær
40
75 kg
1
80 kgMilán
2
67 kgVolkers
5
67 kgTiryaki
6
67 kgEvrard
8
65 kgGandin
11
69 kgJoseph
13
71 kgZahiri
16
57 kgStockman
18
67 kgÖzgür
20
75 kgBergström Frisk
21
70 kgGuzmán
23
69 kgTabellion
26
72 kgDe Rooze
30
62 kgLudvigsson
31
71 kgBjerkestrand Haugsvær
40
75 kg
Weight (KG) →
Result →
80
57
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TZORTZAKIS Polychronis | 80 |
| 2 | MILÁN Diego | 67 |
| 5 | VOLKERS Samuel | 67 |
| 6 | TIRYAKI Oguzhan | 67 |
| 8 | EVRARD Laurent | 65 |
| 11 | GANDIN Stefano | 69 |
| 13 | JOSEPH Thomas | 71 |
| 16 | ZAHIRI Abderrahim | 57 |
| 18 | STOCKMAN Abram | 67 |
| 20 | ÖZGÜR Batuhan | 75 |
| 21 | BERGSTRÖM FRISK Hannes | 70 |
| 23 | GUZMÁN William | 69 |
| 26 | TABELLION Valentin | 72 |
| 30 | DE ROOZE Niels | 62 |
| 31 | LUDVIGSSON Fredrik | 71 |
| 40 | BJERKESTRAND HAUGSVÆR Sindre | 75 |