8 1 point -Below we have the population change for US counties over the period 2000 to 2017, compared to the median household income in 2017. The least-squares regression line is predicted income = 49054.45 + 1313.05(pop change), the sample size is n = 3137, and the correlation coefficient is ? = 0.41. Which of the following is a correct interpretation of the rate of change? Median household income and population change by US county (2000-2017) Fitted line Income 120000 100000 80000 60000 40000 20000 -20 20 40 Population change (%) O For every increase of 1,313.05 in population, the median income is predicted to increase by $49,054.45. O For every increase of 49,054.45 in population, the median income is predicted to increase by $1,313.05. O For every increase of 1% population change, the median income is predicted to increase by $1,313.05. O For every increase of 1% population change, the median income is predicted to increase by $49,054.45