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 = 0.5 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Klöden
2
63 kgNazon
4
68 kgSchnider
5
65 kgSchmidt
8
73 kgMurn
9
70 kgJohansen
10
78 kg
2
63 kgNazon
4
68 kgSchnider
5
65 kgSchmidt
8
73 kgMurn
9
70 kgJohansen
10
78 kg
Weight (KG) →
Result →
78
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KLÖDEN Andreas | 63 |
| 4 | NAZON Damien | 68 |
| 5 | SCHNIDER Daniel | 65 |
| 8 | SCHMIDT Torsten | 73 |
| 9 | MURN Uroš | 70 |
| 10 | JOHANSEN Allan | 78 |