With the provided information below, please interpret (in words) the regression

Question

With the provided information below, please interpret (in words) the regression coefficients.
reg insalesprice approx sqft ource df MS 3849 1, 3847)=10515.93 0.0000 0.7322 Adj R-squared = 0.7321 38009 Number of obs Model 1519.18858 1 1519.18858 Residual 555.758465 3847 .144465419 Prob F R-squared Total 2074.94704 3848 .539227402 Root MSE lnsalesprice I Coef . Std. Err [95% Conf. Interval] 0004469 cons 11.59049 .0137263 844.40 0.00011.56358 11.6174 approx sqft 0004385 4.28e-06 102.55 0.000 0004301

Explanation / Answer

Clearly , the degrees of freedom for the model is 1 . The with-intercept model has only one regressor . Given that F(1,3847) = 10515.93 , ( which is the value of F-statistics ) it clearly shows that The model is significant & the model can explore approximately 73 % of the data .
The coefficient of intercept term is 11.59049 & the same for the regressor " approx sqft " is .0004385 . The value of the t-statistics corresponding to the intercept term is 844.4 & the same for the regressor " approx sqft " is 102.55 . p-value for both intercept term & the regressor is 0.00 , which clearly suggests that both intercept term & the regressor has significance in the model , so that any of them cannot be dropped from the model .

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