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 = -2.2 * weight + 178
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | LAMBRECHT Michiel | 75 |
7 | BETTENDORFF Loïc | 74 |
8 | COQUERET Louis | 69 |
10 | RENARD-HAQUIN Henri-François | 74 |
12 | AVOINE Kévin | 70 |
14 | VERMOOTE Jelle | 73 |
19 | BROWN Jim | 68 |
26 | KIMBER George | 70 |
29 | LAGNET Gari | 59 |
38 | BUSATTO Francesco | 62 |
42 | PORTSMOUTH Tom | 70 |
47 | VAN NUFFELEN Glen | 64 |
50 | MACKIE Ewan | 66 |
58 | DEVROUTE Corentin | 71 |
59 | FAURE PROST Alexy | 67 |