We have created a linear regression model, and would like to know how accurate its predictions are. Unfortunately, we haven't partitioned our data and must rely only on the regression output. Which of the following numbers, on its own, gives us the most information about the accuracy of the model's predictions? which of the following is correct Multiple R-squared Standard error Adjusted R-squared F-statistic