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 + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VEILLEUX David | 75 |
2 | MEERSMAN Gianni | 63 |
3 | SLAGTER Tom-Jelte | 57 |
4 | PORTE Richie | 62 |
5 | FROOME Chris | 68 |
6 | MADRAZO Ángel | 61 |
7 | FUGLSANG Jakob | 67 |
8 | DAMUSEAU Thomas | 64 |
9 | VALVERDE Alejandro | 61 |
10 | GALLOPIN Tony | 69 |
11 | KÖNIG Leopold | 62 |
12 | GARCÍA Ricardo | 68 |