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 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Le Bon
1
70 kgBardet
2
65 kgKreder
3
71 kgElissonde
4
52 kgMorice
7
81 kgTurgis
10
63 kg
1
70 kgBardet
2
65 kgKreder
3
71 kgElissonde
4
52 kgMorice
7
81 kgTurgis
10
63 kg
Weight (KG) →
Result →
81
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE BON Johan | 70 |
| 2 | BARDET Romain | 65 |
| 3 | KREDER Wesley | 71 |
| 4 | ELISSONDE Kenny | 52 |
| 7 | MORICE Julien | 81 |
| 10 | TURGIS Jimmy | 63 |