A dog food company is interested in how much dog food a dog consumes based off of its weight. The company takes a random sample of dogs and finds that the best regression model to represent the data is as follows:
Simple Linear Regression Results:
Dependent Variable: Ounces of Food Consumed in a Week
Independent Variable: Weight
Food Consumed=−32.86+5.25×=−32.86+5.25×Weight
Sample Size: 500
𝑅2R2: 0.8129
Estimate of error standard deviation: 7.8563121
Suppose that a dog weighs 36.7 pounds, and typically eats 180 ounces of food per week. How many ounces of food would we predict the dog eats in a week, based on the least squares estimate? Provide your answer accurate to 1 digit past the decimal point.