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 + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BANASZEK Alan | 75 |
2 | GUARDINI Andrea | 66 |
3 | AUER Daniel | 73 |
6 | BANASZEK Adrian | 79 |
8 | WEBER Philip | 78 |
9 | BANASZEK Norbert | 75 |
10 | ĐURIĆ Đorđe | 79 |
11 | BANUSCH Richard | 78 |
13 | VASILYEV Maksym | 70 |
15 | FILUTÁS Viktor | 68 |
19 | FILOSI Iuri | 70 |
21 | DIMA Emil | 73 |
24 | DIVNIĆ Jovan | 64 |
25 | VERSTRAETEN Jari | 67 |
28 | ONESTI Emanuele | 71 |
29 | RUDYS Paul | 60 |
31 | PAWLAK Tobiasz | 81 |