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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Klöden
1
63 kgSchreck
3
76 kgSchnider
5
65 kgNazon
6
74 kgAuger
8
78 kgBergès
9
68 kgPerque
10
78 kg
1
63 kgSchreck
3
76 kgSchnider
5
65 kgNazon
6
74 kgAuger
8
78 kgBergès
9
68 kgPerque
10
78 kg
Weight (KG) →
Result →
78
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLÖDEN Andreas | 63 |
| 3 | SCHRECK Stephan | 76 |
| 5 | SCHNIDER Daniel | 65 |
| 6 | NAZON Jean-Patrick | 74 |
| 8 | AUGER Guillaume | 78 |
| 9 | BERGÈS Stéphane | 68 |
| 10 | PERQUE Franck | 78 |