1. The residents of a housing development for senior citizens have completed a survey in which they indicated how physically active they are (X) and how many visitors they receive each week. You find the following regression equation: Y = 14.04 - 0.56X.

a. The more physically active the seniors are, they more visitors they tend to have.

b. The more physically active the seniors are, they fewer visitors they tend to have.

c. It is not possible to determine whether visitors increase or decrease with higher levels of physical activity.

2. The residents of a housing development for senior citizens have completed a survey in which they indicated how physically active they are (X) and how many visitors they receive each week. You find the following regression equation: Y = 14.04 - 0.56X.

a. A one unit increase in physical activity is expected to result in .56 more visitors per week.

b. A .56 increase in physical activity is expected to result in one fewer visitor per week.

c. A person who is not at all physically active would be expected to have approximately 14 visitors a week.

d. A person who is not at all physically active would be expected to have approximately .56 visitors a week.

3. Why does voter turnout vary from election to election? For municipal elections in five different cities, information has been gathered on the percentage of registered voters who actually voted, unemployment rate, average years of education for the city, and the percentage of all political ads that used " negative campaigning" (personal attacks, negative portrayals of the opponent's record, etc.). You focus on negative campaigning as a predictor of voter turnout, finding the following regression equation: Y = 114.01 - .9X. Select the most appropriate interpretation.

a. Cities with no negative campaigning are expected to have a voter turn out of .90%.

b. A one percent increase in negative ad campaigns for a city is expected to result in a .90% increase in voter turn out.

c. A one percent increase in negative ad campaigns for a city is expected to result in a .90% decrease in voter turn out.

d. A .90% percent increase in negative ad campaigns for a city is expected to result in a 1% increase in voter turn out.

e. A .90% percent increase in negative ad campaigns for a city is expected to result in a 1% decrease in voter turn out.

4. The residents of a housing development for senior citizens have completed a survey in which they indicated how physically active they are and how many visitors they receive each week. You find an R value of -0.37. What can you conclude?

a. 37% of the total variation in number of visitors is explained by level of activity.

b. - 37% of the total variation in number of visitors is explained by level of activity.

c. 14 % of the total variation in number of visitors is explained by level of activity.

d. -14% of the total variation in number of visitors is explained by level of activity.

5. Why does voter turnout vary from election to election? For municipal elections in five different cities, information has been gathered on the percentage of registered voters who actually voted, unemployment rate, average years of education for the city, and the percentage of all political ads that used " negative campaigning" (personal attacks, negative portrayals of the opponent's record, etc.). You focus on education as a predictor of voter turnout, finding the following regression equation: Y = -94.73 + 12.67X. Using this equation, you predict that voter turnout for a city in which the average years of schooling was 11 is _____% (round to a WHOLE number - no decimal places).