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.
Malcotti
3
52 kgDe Wilde
8
62 kgSmulders
11
51 kgGerritse
12
59 kgHayes
19
55 kg
3
52 kgDe Wilde
8
62 kgSmulders
11
51 kgGerritse
12
59 kgHayes
19
55 kg
Weight (KG) →
Result →
62
51
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MALCOTTI Barbara | 52 |
| 8 | DE WILDE Julie | 62 |
| 11 | SMULDERS Silke | 51 |
| 12 | GERRITSE Femke | 59 |
| 19 | HAYES Connie | 55 |