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 = 1.7 * weight - 98
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | RIKUNOV Petr | 71 |
4 | KUSTADINCHEV Roman | 66 |
5 | KOMIN Aleksandr | 63 |
6 | FATKULLIN Valerii | 62 |
10 | SIDOROV Igor | 62 |
14 | KURIANOV Stepan | 74 |
32 | CHERKASOV Nikolay | 68 |
46 | POPOV Anton | 75 |