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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:

result = -0.2 * weight + 27

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
1 BODROGI László79
1 CANCELLARA Fabian80
2 RICH Michael82
2 PESCHEL Uwe72
3 DEKKER Erik66
3 WAUTERS Marc73
4 LJUNGQVIST Marcus73
4 BÄCKSTEDT Magnus94
5 ARMSTRONG Lance72
5 EKIMOV Viatcheslav69
6 O'NEILL Nathan72
6 MATVEYEV Sergiy78
7 CAPPELLE Andy71
8 MORIN Anthony79
8 HUSHOVD Thor83
9 LANDIS Floyd68
9 ZABRISKIE David67
10 VELO Marco70
10 HONCHAR Serhiy67
11 HULSMANS Kevin75
11 ROGERS Michael74
12 VOSKAMP Bart75
13 NÜTTLI Jean70
14 VANDENBROUCKE Frank67
14 MUSEEUW Johan71
15 BARTKO Robert78
15 WESEMANN Steffen72
16 STREEL Marc69
17 D'HOLLANDER Glenn74
17 EECKHOUT Niko73
18 ROESEMS Bert81
19 DIERCKXSENS Ludo71
19 QUINZIATO Manuel74
20 DEVOLDER Stijn72
21 MERCKX Axel77
21 WADECKI Piotr70