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.
Planckaert
7
69 kgDe Wilde
8
70 kgSvorada
10
76 kgNevens
13
58 kgLilholt
16
72 kgDernies
17
75 kg
7
69 kgDe Wilde
8
70 kgSvorada
10
76 kgNevens
13
58 kgLilholt
16
72 kgDernies
17
75 kg
Weight (KG) →
Result →
76
58
7
17
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | PLANCKAERT Eddy | 69 |
| 8 | DE WILDE Etienne | 70 |
| 10 | SVORADA Ján | 76 |
| 13 | NEVENS Jan | 58 |
| 16 | LILHOLT Søren | 72 |
| 17 | DERNIES Michel | 75 |