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Let us consider a real life situation to predict the amount of runs scored in first innings of a T20 cricket match . The dependent variable here is number of runs scored,while the independent variables are the ground temperature (in ℃),maximum size of boundary (in m), number of wickets fallen at the time of arrival and team score at the time of arrival .
The data set given below consists of the runs scored In the 6 matches by the batsmen along with the other mentioned values.
| Runs | Temp | size | wickets | team runs |
|---|---|---|---|---|
| 78 | 35 | 80 | 2 | 36 |
| 106 | 33 | 72 | 1 | 21 |
| 22 | 37 | 87 | 4 | 88 |
| 51 | 36 | 69 | 4 | 59 |
| 86 | 31 | 75 | 3 | 27 |
| 111 | 30 | 73 | 1 | 2 |
The regression equation is predicted runs =203.68-1.09 Temp -.62size -8.36wickets -.61team runs
The runs a batsmen will score in a day of temperature 34℃ with the boundary be 76m and the scorecard reads 31/1 will be 92
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