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 Reida Residal 235 3 30 200 300 400 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 vymmetrical 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

Zagat restaurant guides publish ratings of restaurants for many large cities around the world. The restaurants are rated on a 0 to 30 point scale based on quality of food, decor, service, and cost. Suppose that someone wants to predict the cost of dinner at a restaurant in a city based on the Zagat food quality ratings. If 10 restaurants in a city are sampled and the regression output is given below, what can we conclude about the slope of food quality? Since we are not given the dataset, we do not have enough information to determine if the slope differs from 0.   2)  The slope is 2.521 and therefore differs from 0.   3)  The slope significantly differs from 0.   4)  Not enough evidence was found to conclude the slope differs significantly from 0.   5)  The slope is equal to 0.

True or false: A proper line regression can be used to predict values of the response variable from absurd values of the explanatory variable.

What is the slope of the regression line (slope and intercept) Please put the answer in bold.

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