In a study, fast-food menu items were analysed for their fat content (measured in grams) and calorie content. The goal is to predict the number of calories in a menu item from knowing its fat content. The least-squares regression line was computed and added to a scatterplot of the data:

The equation of the least-squares regression line is:
Calories = 204 + 11.4 × (Fat) The correlation between Calories and Fat is r = 0.979. Hence, r 2 = 0.958. The point indicated by * has

Question

In a study, fast-food menu items were analysed for their fat content (measured in grams) and calorie content. The goal is to predict the number of calories in a menu item from knowing its fat content. The least-squares regression line was computed and added to a scatterplot of the data: 
  
 The equation of the least-squares regression line is: 
 Calories = 204 + 11.4 × (Fat) The correlation between Calories and Fat is r = 0.979. Hence, r 2  = 0.958. The point indicated by * has

Answer

a zero value for the residual.

Answer

a positive value for the residual.

Answer

a negative value for the residual.

Answer

a zero value for the correlation.

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In a study, fast-food menu items were analysed for their fat content (measured i...

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