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Suppose the following are the results of a linear regression with the voter turnout rate in a county as a percentage in decimal form as

Suppose the following are the results of a linear regression with the voter turnout rate in a county as a percentage in decimal form as the dependent variable and the unemployment rate and the amount of rain on election day in inches as the independent variables. The unemployment rate is a percentage in decimal form. The coefficient on the unemployment rate is 2.736 with a p-value of 0.002. The coefficient on the amount of rain on election day in inches is 0.012 with a p-value of 0.067. What can be said about the relationship between the voter turnout rate and the unemployment rate?

a) An increase in the unemployment rate of 8 percentage points reduce the voter turnout rate by 0.002 percentage points on average

b) An increase in the unemployment rate of 8 percentage points increases the voter turnout rate by 2.736 percentage points on average

c) An increase in the unemployment rate of 8 percentage points increase the voter turnout rate by 21.89 percentage points on average

d) At a 5% level of significance, the unemployment rate doesn't have a statistically impact on the turnout rate

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