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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Guardini
1
66 kgMurphy
2
81 kgWang
3
70 kgPalini
4
67 kgKolář
5
90 kgJones
6
81 kgMareczko
7
67 kgJanse van Rensburg
9
74 kgChicchi
10
76 kgOram
12
68 kgGoh
14
54 kgFukuda
15
70 kgPage
16
64 kgNovardianto
17
69 kgHasnaoui
20
80 kgBrown
21
76 kgDomagalski
22
77 kgSimion
24
79 kgPacioni
25
67 kgGogl
26
71 kgBenfatto
27
71 kgHarper
28
67 kgSaleh
29
70 kg
1
66 kgMurphy
2
81 kgWang
3
70 kgPalini
4
67 kgKolář
5
90 kgJones
6
81 kgMareczko
7
67 kgJanse van Rensburg
9
74 kgChicchi
10
76 kgOram
12
68 kgGoh
14
54 kgFukuda
15
70 kgPage
16
64 kgNovardianto
17
69 kgHasnaoui
20
80 kgBrown
21
76 kgDomagalski
22
77 kgSimion
24
79 kgPacioni
25
67 kgGogl
26
71 kgBenfatto
27
71 kgHarper
28
67 kgSaleh
29
70 kg
Weight (KG) →
Result →
90
54
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | GUARDINI Andrea | 66 |
2 | MURPHY John | 81 |
3 | WANG Meiyin | 70 |
4 | PALINI Andrea | 67 |
5 | KOLÁŘ Michael | 90 |
6 | JONES Brenton | 81 |
7 | MARECZKO Jakub | 67 |
9 | JANSE VAN RENSBURG Reinardt | 74 |
10 | CHICCHI Francesco | 76 |
12 | ORAM James | 68 |
14 | GOH Choon Huat | 54 |
15 | FUKUDA Shinpei | 70 |
16 | PAGE Dylan | 64 |
17 | NOVARDIANTO Jamalidin | 69 |
20 | HASNAOUI Maher | 80 |
21 | BROWN Graeme Allen | 76 |
22 | DOMAGALSKI Karol | 77 |
24 | SIMION Paolo | 79 |
25 | PACIONI Luca | 67 |
26 | GOGL Michael | 71 |
27 | BENFATTO Marco | 71 |
28 | HARPER George | 67 |
29 | SALEH Mohd Harrif | 70 |