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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Rosskopf
1
74 kgBookwalter
2
70 kgPowless
3
67 kgBarta
4
61 kgWarbasse
5
67 kgMurphy
6
67 kgVermeulen
7
66 kgHuffman
15
71 kgGarrison
17
76 kgHecht
18
72 kgDaniel
20
64 kgMannion
21
58 kgMcNulty
22
69 kgAnderson
28
70 kgKoontz
29
80 kgHoehn
31
63 kgZimmer
34
68 kgGranigan
35
76 kg
1
74 kgBookwalter
2
70 kgPowless
3
67 kgBarta
4
61 kgWarbasse
5
67 kgMurphy
6
67 kgVermeulen
7
66 kgHuffman
15
71 kgGarrison
17
76 kgHecht
18
72 kgDaniel
20
64 kgMannion
21
58 kgMcNulty
22
69 kgAnderson
28
70 kgKoontz
29
80 kgHoehn
31
63 kgZimmer
34
68 kgGranigan
35
76 kg
Weight (KG) →
Result →
80
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSKOPF Joey | 74 |
| 2 | BOOKWALTER Brent | 70 |
| 3 | POWLESS Neilson | 67 |
| 4 | BARTA Will | 61 |
| 5 | WARBASSE Larry | 67 |
| 6 | MURPHY Kyle | 67 |
| 7 | VERMEULEN Alexey | 66 |
| 15 | HUFFMAN Evan | 71 |
| 17 | GARRISON Ian | 76 |
| 18 | HECHT Gage | 72 |
| 20 | DANIEL Gregory | 64 |
| 21 | MANNION Gavin | 58 |
| 22 | MCNULTY Brandon | 69 |
| 28 | ANDERSON Edward | 70 |
| 29 | KOONTZ Grant | 80 |
| 31 | HOEHN Alex | 63 |
| 34 | ZIMMER Matt | 68 |
| 35 | GRANIGAN Noah | 76 |