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No- Even though the boxplot is roughly symmetric and there are no outliers, the scatterplot of the residuals versus the predicted values shows inconsistent variability.
No- Even though the boxplot is roughly symmetric and there are no outliers, the scatterplot of the residuals versus the predicted values shows inconsistent variability. Yes - The boxplot is roughly symmetric and there are no outliers. The scatterplot of the residuals versus the predicted values is fairly scattered. No curved patterns are apparent. No - The boxplot showes that the distribution of residuals is not perfectly symmetrical. No - Even though, the boxplot is roughly symmetric and there are no outliers, the scatterplot of the residuals versus the predicted values shows curvatures and fanning patterns are apparent.
A boxplot of the residuals and a scatterplot of the residuals versus the predicted values are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots. Residual 25 50 25 Resid 3 A A 00:0.0 35 200 400 500 600 Predicted Calories No-Even though the boxplot is roughly symmetric and there are no outliers, the scatterplot of the residuals versus the predicted values shows inconsistent variability Yes The boxplot is roughly symmetric and there are no outliers. The scatterplot of the residuals versus the predicted values is fairly scattered. No curved patterns are apparent No The boxplot showes that the distribution of residuals is not perfectly symmetrical No Even though the boxplot in roughly symmetric and there are no outliers, the scatterplot of the residuals versus the predicted values shows curvatures and fanning patterns are apparent
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