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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Lasa
1
68 kgMaertens
2
65 kgMerckx
4
74 kgPollentier
7
62 kgDemeyer
13
85 kgBittinger
24
69 kg
1
68 kgMaertens
2
65 kgMerckx
4
74 kgPollentier
7
62 kgDemeyer
13
85 kgBittinger
24
69 kg
Weight (KG) →
Result →
85
62
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LASA Miguel María | 68 |
| 2 | MAERTENS Freddy | 65 |
| 4 | MERCKX Eddy | 74 |
| 7 | POLLENTIER Michel | 62 |
| 13 | DEMEYER Marc | 85 |
| 24 | BITTINGER René | 69 |