Regress in stata9/8/2023 ![]() Prob> F: This is the significance value of the F statistic, which test the null hypothesis that all the regression coefficients in the model are zero against the alternative hypothesis that at least one of the coefficient is non zero. The values in the bracket are df of model and residual. Number of obs: Total number of observations used in the regression model.į (2, 66): This is the F statistics which is calculated by dividing the Mean square of the model by the Mean square of residual. Checking the overall fitness of the model This is calculated by dividing the sum of squares (SS) divided by their df. So the df for residual is 68-2, which is 66. In this case, the total df is 68 calculated as ( n-1). Similarly, the df of the residual is the total degree of freedom minus the df of the model. In the above results since there is a total of 3 coefficients (including constant), the df for the model is 1. The df for the model is the total number of regression coefficients estimated minus 1. ![]() The “total” is the sum of the model and residual value.ĭf: It stands for degrees of freedom that are related to the source of variance. Source: It shows the variance in the dependent variable due to variables included in the regression (model) and variables not included (residuals). The results from the above table can be interpreted as follows: On the basis of the above results the regression equation can be written as: price = 9657.754 - 271.6425 mpg + 666.9668 rep78 Use 5E25A5EE63214 to save 5000 68 on 15001 - 20000 words standard order of literature survey.
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