'2- We take a random sample of the properties sold In Manhattan during the last 12 months. We run the following linear regression for this sample. Price = 130+ in\" Age__(_1) The results table is as follows: \"Roqxongon Fabio Age(year) (4.428) Constant 1,656,822.000 (1,041,194 \"N ~ 500 R2 0.145 Adjusted R2 0.071 Residual Std. Error 1,021,016,000 F SLaListic 0.169 (g: = ***Significant at the 1 percent level. **Significant at the 5 percent level. *Significant at the 10 percent level. 3) Based on the results table, what are the values for on and Eng equation 1? b) What is the interpretation of b; (discuss it given the value of the b1 in the results table). c) Based on the results table, what is the expected price of a property in Manhattan which is 20 years old