1- Given the following paritalminitab printout of the number of police officers present in a particular area of a city and the number of crimes committed during that time, answer the following questions:

Correlations: No. of Police Officers, No. of Crimes

Pearson correlation of No. of Police Officers and No. of Crimes = -0.912

Regression Analysis: No. of crimes versus No. of Police Officers

The regression equation is

No. of Crimes = 22.2 - 1.54 No. of Police Officers

What is the correlation value "r"?
-0.912

If 8 police officers are present, predict the number of crimes that would occur. (round the nearest crime)
10

Based on your correlation coefficient, how good (valid) is your prediction, poor, okay, good, very good?
Very good

For each additional police officer, what would you predict the increase or decrease in the number of crimes be? (use + for increase and - for decrease and give the value round to 3 decimal places)
-1.540

2-

Which of the following best describes the data: classifications of unlikely, likely, or very likely to describe possible buying of a product?

A) Qualitative data

B) Numerical data

C) Sample data

D) Quantitative data

3- Which of the following would not be a continuous random variable?

A) Age of students upon graduation from college

B) Number of attempts to make a field goal in football

C) Number of miles driven on a trip

D) Body temperature of small children

4- Which of the following best describes the data: zip codes for students attending college in the state of Michigan?

A) Numerical data

B) Sample data

C) Quantitative data

D) Attribute data