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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | JANSE VAN RENSBURG Jacques | 63 |
3 | MEINTJES Louis | 58 |
5 | KUDUS Merhawi | 58 |
8 | TEKLEHAIMANOT Daniel | 70 |
10 | GIBBONS Ryan | 70 |
11 | STACCHIOTTI Riccardo | 70 |
15 | VIOLA Antonio | 69 |
16 | MIYAZAWA Takashi | 61 |
17 | CARTHY Hugh | 69 |
18 | JULIUS Jayde | 59 |
20 | REGUIGUI Youcef | 69 |
22 | SMIT Willie | 72 |