The slope of the linear model is the rate of change of the average weight of dogs per month. In this case, the slope is 4.3, indicating that on average, dogs gain 4.3 pounds per month.
The y-intercept of the linear model is the average weight of dogs at birth, which is 0 pounds. This means that when a dog is born, its weight is 0 pounds.
Using the ordered pair (9, 42), we can interpret it as follows: when a dog is 9 months old, its average weight is 42 pounds.
A veterinarian collected data on the average weight of dogs by age in months. Interpret the slope and the y-intercept (0,0) of the linear model, using the ordered pair (9,42). Round the slope to the nearest hundredth. (1 point) Responses Every month, a dog averages a gain of 4.3 pounds and weighs 0 pounds at birth. Every month, a dog averages a gain of 4.3 pounds and weighs 0 pounds at birth. Every 4.67 months, a dog averages a gain of 1 pound and weighs 0 pounds at birth. Every 4.67 months, a dog averages a gain of 1 pound and weighs 0 pounds at birth. Every month, a dog averages a gain of 4.67 pounds Every month, a dog averages a gain of 4.67 pounds Every month, a dog averages a gain of 0.21 pounds and weighs 0 pounds at birth.
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