Use the data below to estimate a linear regression model with home price as the dependent variable and S&P500 EPS, Household income growth and population as independent variables.

Home Price IndexS&P 500 EPS ($) Household income growth (%)Population (millions)

30-Sep-20208.699.254.89%330.66

31-Aug-20208.1399.734.66%330.53

31-Jul-20208.65100.394.26%330.38

30-Jun-20208.34101.241.92%330.33

31-May-20206.83107.642.29%330.05

30-Apr-20205.15113.493.39%329.73

31-Mar-20203.16118.54-0.86%329.59

29-Feb-20201.56126.12-0.65%329.46

31-Jan-20200.08134.331.21%329.34

31-Dec-19200.29142.751.56%329.14

30-Nov-19201.2140.385.09%329.02

31-Oct-19201.05138.074.76%328.89

30-Sep-19200.48136.142.37%328.58

What is the interpretation of coefficient for S&P 500 EPS?

Every $0.17 increase in S&P 500 EPS will cause home price index to decrease by 1 point

Every $0.17 decrease in S&P 500 EPS will cause home price index to decrease by 1 point

Every $1 increase in S&P 500 EPS will cause home price index to decrease by 0.17 points

Every $1 decrease in S&P 500 EPS will cause home price index to decrease by 0.17 points