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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ROGLIČ Primož | 65 |
2 | EVENEPOEL Remco | 61 |
3 | CAVAGNA Rémi | 78 |
4 | THOMAS Geraint | 71 |
5 | YATES Adam | 58 |
6 | VLASOV Aleksandr | 68 |
7 | ARMIRAIL Bruno | 72 |
8 | IZAGIRRE Ion | 60 |
9 | VINGEGAARD Jonas | 58 |
10 | TULETT Ben | 56 |
11 | MARTÍNEZ Daniel Felipe | 63 |
12 | IZAGIRRE Gorka | 66 |
13 | OLIVEIRA Nelson | 67 |
14 | LATOUR Pierre | 66 |
15 | DEVENYNS Dries | 65 |