A political scientist was interested in studying America's voting habits. So, he decided to make a least squares regression equation to predict the percentage of people in a state that would vote for Obama in 2012 based on the percentage of people in a state that voted for Obama in 2008. The least squares equation is y-hat = -4.699 +1.04x. The value of R-squared was 96.70%. Interpret the y-intercept, if applicable.

Should not be Interpreted.

In a state, where 0% voted for Obama in 2008, 1.04% voted for him in 2012.

In a state, where 0% voted for Obama in 2008, 4.69% voted for him in 2012.

For every percentage point increase in the percent that voted for Obama in a state in 2008, the percentage who voted for him in 2012 increased by 1.04%, on average.