Isaac enjoys his work at a vet clinic, especially when a kitten comes in. He made a scatter plot to show the relationship between the ages in months, \( x \), and weights in pounds, \( y \), of the last several kittens that visited the clinic. Then, he drew a line of best fit. The equation for the line of best fit is \( y=1.1 x-0.2 \). In this context, what is the meaning of 1.1 ? The average age of the kittens that visited the clinic was 1.1 months. On average, the kittens that visited the clinic gained 1.1 pounds per month. On average, the kittens that visited the clinic gained a pound every 1.1 months. The average weight of the kittens that visited the clinic was 1.1 pounds. Ther Ther Ther Ther
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Bonus Knowledge
The slope of 1.1 in the equation \( y = 1.1x - 0.2 \) means that, on average, the kittens that visited the clinic gained 1.1 pounds for each month of age. It's like watching a little fluffy ball of joy grow bigger and stronger! So, for every month older they get, they pack on a bit more weight. To further clarify, if you had a kitten who is 2 months old, you could predict its weight by plugging in the age into the equation. It’s like having a crystal ball to see how many pounds of adorableness are in store! This equation really helps in tracking their growth and health as they develop in those crucial early months.
