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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ZABEL Rick | 81 |
2 | HOLLER Nikodemus | 58 |
3 | KOCH Michel | 69 |
5 | KRIEGER Alexander | 71 |
6 | BUCHMANN Emanuel | 59 |
12 | ZEPUNTKE Ruben | 76 |
13 | KOCH Jonas | 75 |
14 | REINHARDT Theo | 72 |
22 | SÜTTERLIN Jasha | 78 |
25 | KOEP Thomas | 78 |
32 | WERDA Maximilian | 66 |
49 | FIEK Arnold | 74 |