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 = 1.1 * weight - 26
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Villumsen
1
59 kgPitel
3
52 kgAmialiusik
5
53 kgPlichta
12
60 kgHammes
14
54 kgBronzini
19
54 kgCecchini
24
52 kgNeylan
25
52 kgFahlin
30
63 kgBrzeźna
32
56 kgRagažinskienė
35
58 kgBoyarskaya
38
67 kgPaladin
44
59 kgValsecchi
48
58 kgKirchmann
51
59 kgHanselmann
52
55 kgRoy
56
66 kgPilote Fortin
64
55 kgSaarelainen
65
58 kgGonzález
66
51 kgBurchenkova
67
67 kgTrevisi
73
54 kg
1
59 kgPitel
3
52 kgAmialiusik
5
53 kgPlichta
12
60 kgHammes
14
54 kgBronzini
19
54 kgCecchini
24
52 kgNeylan
25
52 kgFahlin
30
63 kgBrzeźna
32
56 kgRagažinskienė
35
58 kgBoyarskaya
38
67 kgPaladin
44
59 kgValsecchi
48
58 kgKirchmann
51
59 kgHanselmann
52
55 kgRoy
56
66 kgPilote Fortin
64
55 kgSaarelainen
65
58 kgGonzález
66
51 kgBurchenkova
67
67 kgTrevisi
73
54 kg
Weight (KG) →
Result →
67
51
1
73
# | Rider | Weight (KG) |
---|---|---|
1 | VILLUMSEN Linda | 59 |
3 | PITEL Edwige | 52 |
5 | AMIALIUSIK Alena | 53 |
12 | PLICHTA Anna | 60 |
14 | HAMMES Kathrin | 54 |
19 | BRONZINI Giorgia | 54 |
24 | CECCHINI Elena | 52 |
25 | NEYLAN Rachel | 52 |
30 | FAHLIN Emilia | 63 |
32 | BRZEŹNA Paulina | 56 |
35 | RAGAŽINSKIENĖ Daiva | 58 |
38 | BOYARSKAYA Natalia | 67 |
44 | PALADIN Soraya | 59 |
48 | VALSECCHI Silvia | 58 |
51 | KIRCHMANN Leah | 59 |
52 | HANSELMANN Nicole | 55 |
56 | ROY Sarah | 66 |
64 | PILOTE FORTIN Gabrielle | 55 |
65 | SAARELAINEN Sari | 58 |
66 | GONZÁLEZ Alicia | 51 |
67 | BURCHENKOVA Alexandra | 67 |
73 | TREVISI Anna | 54 |