A veterinarian collected data on the association between age and mass of Boxer puppies. A line of best fit was computed. The equation for the line is y=17.5x+480
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Which BEST interprets the slope of the linear model?
(1 point)
Responses
Each additional day is associated with an additional 480 grams of mass.
Each additional day is associated with an additional 480 grams of mass.
The predicted mass of a Boxer puppy at birth.
The predicted mass of a Boxer puppy at birth.
Each additional day is associated with an additional 17.5 grams of mass.
Each additional day is associated with an additional 17.5 grams of mass.
Every 17.5 days is associated with an additional 480 grams of mass.
Each additional day is associated with an additional 17.5 grams of mass.
Each additional day is associated with an additional 17.5 grams of mass.
The equation of the line of best fit is y = 17.5x + 480. In this equation, x represents the age of the Boxer puppies and y represents the mass of the puppies.
The slope of the linear model is the coefficient of x, which in this case is 17.5. The slope indicates how the y-values (mass) change with respect to the x-values (age).
Therefore, the correct interpretation of the slope is: Each additional day is associated with an additional 17.5 grams of mass.