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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 = 0.7 * weight - 16

This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# Rider Weight (KG)
1 BANASZEK Norbert75
2 RUDYK Bartosz76
3 STOSZ Patryk70
4 KONWA Marek62
5 FRĄTCZAK Radosław70
6 ANIOŁKOWSKI Stanisław68
7 MAŁECKI Kamil69
10 SAJNOK Szymon75
11 DABSKI Patryk70
12 ŻELAZOWSKI Michał68
13 SŁAWEK Damian73
15 WALINIAK Konrad71
17 KACZMAREK Jakub66
18 KOSTAŃSKI Mateusz74
19 GAJDULEWICZ Mateusz67
20 GADERA Jan65
21 GIERACKI Patryk71
22 ŻUBER Adam68
23 SZÓSTKA Paweł63
24 MUSIALIK Jakub63
25 PSZCZOLARSKI Wojciech73
27 BUDZIŃSKI Tomasz69
28 PALUTA Michał65
29 BUDZIŃSKI Marcin70
31 GÓRAK Dominik72
32 VAN DER TUUK Danny64
33 RAJTAK Mateusz68
34 GIERYK Kacper71
36 KUŚ Adam70
38 BENEDETTI Cesare63
40 OWSIAN Łukasz66
41 MACIEJUK Filip78
43 MURIAS Jakub65
46 DOLAK Kamil62
48 WIŚNIOWSKI Łukasz78
49 PODLASKI Michał68
50 WIŚNIEWSKI Szymon68
56 ŁĄTKOWSKI Dawid68
57 BANASZEK Alan75
58 MAŚLAK Piotr73
59 KRUKOWSKI Aleksander69
61 BROŻYNA Piotr71
62 PAWLAK Tobiasz81
63 BERNAS Paweł77
64 POMORSKI Michał76
67 PĘKALA Piotr65