Exhibit1:
We have the followinginformation about number of violent crimes (Y) and the number ofpolice personnel (X) for a certain year for a sample of threemetropolitan areas. We also know the following statistics: SST =1250, SSE = 937.5
Crime (Y) | Police Personnel(X) |
300 | 5000 |
325 | 3000 |
350 | 4000 |
Question 6
To answer thisquestion, refer to Exhibit 1 in question 1.
What does value ofr2 tell you?
A. | | 25 percent ofvariation in crime is explained by the number of policepersonnel. |
B. | | 50 percent ofvariation in crime is explained by the number of policepersonnel. |
C. | | 75 percent ofvariation in crime is explained by the number of policepersonnel. |
D. | | None of the above |
Question 7
To answer thisquestion, refer to Exhibit 1 in question 1.
The coefficient ofcorrelation is (to 2 decimal places)
Question 8
To answer thisquestion, refer to Exhibit 1 in question 1.
What is the estimateof the standard error of the overall regression (to 2 decimalplaces)?
Question 9
To answer thisquestion, refer to Exhibit 1 in question 1.
What is the estimateof the standard error of slope estimate (to 3 decimal places)?
Question 10
To answer thisquestion, refer to Exhibit 1 in question 1.
Is police personnel asignificant variable affecting crime in the above data?
| | No because we cannotreject the null the slope is 0. |
| | Yes because we canreject the null the slope is 0. |
| | Need more informationto answer the question |