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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
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 |
Is the coefficient for S&P 500 EPS statistically significant?
Yes it is statistically significant at 5% level. | ||
No it is statistically insignificant. | ||
Yes it is statistically significant at 0.05% level. | ||
Yes it is statistically significant at 1% level. |
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