A veterinarian collected data on the average weight of dogs by age and months. Interpret the slope, and the Y intercept zero, zero of the linear model, using the ordered pair nine, 42 round the slope to the nearest, hundredth.
The slope of the linear model is 4.67, which means that on average, the weight of dogs increases by 4.67 pounds for every month increase in age.
The y-intercept of the linear model is when the age of the dog is zero, which is not a realistic age for a dog. In this case, it is set at (0,0), but should not be interpreted literally in this context.
So, using the ordered pair (9, 42) and rounding the slope to the nearest hundredth, we can say that for every additional month a dog ages, its weight is expected to increase by 4.67 pounds.