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 Index	S&P 500 EPS ($)	Household income growth (%)	Population (millions)
30-Sep-20	208.6	99.25	4.89%	330.66
31-Aug-20	208.13	99.73	4.66%	330.53
31-Jul-20	208.65	100.39	4.26%	330.38
30-Jun-20	208.34	101.24	1.92%	330.33
31-May-20	206.83	107.64	2.29%	330.05
30-Apr-20	205.15	113.49	3.39%	329.73
31-Mar-20	203.16	118.54	-0.86%	329.59
29-Feb-20	201.56	126.12	-0.65%	329.46
31-Jan-20	200.08	134.33	1.21%	329.34
31-Dec-19	200.29	142.75	1.56%	329.14
30-Nov-19	201.2	140.38	5.09%	329.02
31-Oct-19	201.05	138.07	4.76%	328.89
30-Sep-19	200.48	136.14	2.37%	328.58

What is the interpretation of coefficient for population?

		Every 1 million increase in population will cause home price index to decrease by approximately 0.59 points.
		Every 0.59 million increase in population will cause home price index to decrease by approximately 1 point.
		Every 0.59 million increase in population will cause home price index to increase by approximately 1 point.
		Every 1 million increase in population will cause home price index to increase by approximately 0.59 points.