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 = -0.7 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Vandewalle
1
74 kgLeezer
2
76 kgLe Floch
6
67 kgBrammeier
8
72 kgCavendish
10
70 kgMeersman
11
63 kg
1
74 kgLeezer
2
76 kgLe Floch
6
67 kgBrammeier
8
72 kgCavendish
10
70 kgMeersman
11
63 kg
Weight (KG) →
Result →
76
63
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDEWALLE Kristof | 74 |
| 2 | LEEZER Tom | 76 |
| 6 | LE FLOCH Guillaume | 67 |
| 8 | BRAMMEIER Matt | 72 |
| 10 | CAVENDISH Mark | 70 |
| 11 | MEERSMAN Gianni | 63 |