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 = 0.9 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | UGRUMOV Piotr | 58 |
9 | TONKOV Pavel | 70 |
10 | SCHUR Jan | 73 |
11 | KONYSHEV Dmitry | 77 |
13 | JASKUŁA Zenon | 76 |
14 | ABDUZHAPAROV Djamolidine | 72 |
17 | LIPTÁK Miroslav | 68 |
29 | PIĄTEK Zbigniew | 71 |
31 | SPRUCH Zbigniew | 68 |
37 | KLUGE Mike | 77 |
46 | TANG Xuezhong | 71 |
62 | HARMELING Rob | 76 |
92 | MAGALHÃES AZEVEDO Wanderley | 70 |