Respuesta :
MS regression divided by MS residual is the formula for calculating the F-statistic. In this instance, the MS regression/MS residual is equal to 273.2665/53.68151, or 5.090515. Since our regression model better fits the data than the intercept-only model, the p-value is less than the significance criterion.
Regression's F-statistic of Overall Significance measures if your linear regression model fits a dataset more closely than a model with no predictor variables.
The following two hypotheses are included in the F-statistic of Global Significance:
Null hypothesis (H0): The intercept-only model, also known as a model without predictor variables, fits the data as well as your regression F-statistic model.
The intercept-only model does not adequately match the data, as an alternative hypothesis (HA) states.
When you apply a regression model to a dataset, you will get a regression table as an output that contains the F-statistic and the related p-value.
Learn more about F-statistic here
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