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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | GONÇALVES José | 70 |
4 | CONTI Samuele | 68 |
5 | MIYAZAWA Takashi | 61 |
6 | SUMMERHILL Daniel | 70 |
7 | SCHWARZMANN Michael | 69 |
9 | DYUDYA Volodymyr | 80 |
10 | MILETTA Luigi | 63 |
11 | WANG Meiyin | 70 |
12 | PHELAN Adam | 73 |
13 | WILCHES Juan Pablo | 56 |
14 | SOHRABI Mehdi | 69 |
15 | LAGKUTI Sergiy | 68 |