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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Savino
7
70 kgDolven
9
74 kgLambrecht
10
75 kgDe Ceuster
11
76 kgRaccagni Noviero
12
75 kgHulsmans
13
70 kg
7
70 kgDolven
9
74 kgLambrecht
10
75 kgDe Ceuster
11
76 kgRaccagni Noviero
12
75 kgHulsmans
13
70 kg
Weight (KG) →
Result →
76
70
7
13
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | SAVINO Federico | 70 |
| 9 | DOLVEN Halvor | 74 |
| 10 | LAMBRECHT Michiel | 75 |
| 11 | DE CEUSTER Milan | 76 |
| 12 | RACCAGNI NOVIERO Andrea | 75 |
| 13 | HULSMANS Senne | 70 |