The model y = -0.7x + 6.8 is a good fit for the data as the predicted values closely match the actual values.
The equation y = -0.7x + 6.8 models the growth of an elk's antlers during different weeks. To determine if the model is a good fit, we can compare the predicted values from the model to the actual values given in the table. Let's calculate the predicted values and compare them to the actual values:
For x = 1, the predicted y value is -0.7(1) + 6.8 = 6.1
For x = 2, the predicted y value is -0.7(2) + 6.8 = 5.4
For x = 3, the predicted y value is -0.7(3) + 6.8 = 4.7
For x = 4, the predicted y value is -0.7(4) + 6.8 = 4.0
For x = 5, the predicted y value is -0.7(5) + 6.8 = 3.3
We can see that the predicted values closely match the actual values given in the table. Therefore, the model y = -0.7x + 6.8 is a good fit for the data.