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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | KENNETT Dylan | 75 |
2 | BENFATTO Marco | 71 |
3 | VALLÉE Boris | 79 |
4 | PELUCCHI Matteo | 74 |
5 | REGUIGUI Youcef | 69 |
7 | RÄIM Mihkel | 69 |
8 | JONES Brenton | 81 |
9 | OTHMAN Muhamad Afiq Husaine | 57 |
11 | PERON Andrea | 70 |
12 | EINHORN Itamar | 72 |
14 | CIMA Damiano | 70 |
17 | ZAKARIA Akmal Hakim | 59 |
18 | PACIONI Luca | 67 |
19 | QUICK Blake | 77 |
21 | PEÑALVER Manuel | 67 |