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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BLIKRA Erlend | 75 |
2 | TOUZÉ Damien | 69 |
3 | BAX Sjoerd | 78 |
6 | PLANCKAERT Emiel | 69 |
7 | CHERKASOV Nikolay | 68 |
9 | ROCCHETTI Filippo | 72 |
10 | RIKUNOV Petr | 71 |
11 | LARSEN Niklas | 74 |
13 | GHYS Robbe | 72 |
14 | BARCELÓ Fernando | 65 |
15 | EENKHOORN Pascal | 72 |
16 | GENIETS Kevin | 73 |
18 | CORNELISSE Mitchell | 73.5 |
19 | SLEEN Torjus | 65 |
21 | AFFINI Edoardo | 80 |
24 | TILLER Rasmus | 84 |