$$v\left(t\right)=150000\left(0.946\right)^t$$

$$v\left(t\right)=150000\left(0.054\right)^t$$

$$v\left(t\right)=150000\left(1.054\right)^t$$

$$v\left(t\right)=150000\left(1.946\right)^t$$

$$v\left(t\right)=50\left(0.235\right)^t$$

$$v\left(t\right)=50\left(0.765\right)^t$$

$$v\left(t\right)=50\left(1.235\right)^t$$

$$v\left(t\right)=50\left(1.765\right)^t$$

$$p\left(m\right)=30\left(6.5\right)^m$$

$$p\left(m\right)=30\left(3.5\right)^m$$

$$p\left(m\right)=30\left(4.5\right)^m$$

$$p\left(m\right)=30\left(7.5\right)^m$$

$$m\left(t\right)=700\left(0.024\right)^t$$

$$m\left(t\right)=700\left(0.976\right)^t$$

$$m\left(t\right)=700\left(1.024\right)^t$$

$$m\left(t\right)=700\left(1.976\right)^t$$

$$p\left(t\right)=500\left(2\right)^{\frac{t}{2}}$$

$$p\left(t\right)=500\left(35\right)^{\frac{t}{2}}$$

$$p\left(t\right)=500\left(2\right)^{\frac{t}{35}}$$

$$p\left(t\right)=500\left(2\right)^{35t}$$

$$p\left(t\right)=500\left(\frac{1}{2}\right)^{\frac{t}{2}}$$

$$p\left(t\right)=500\left(5700\right)^{\frac{t}{2}}$$

$$p\left(t\right)=500\left(\frac{1}{2}\right)^{\frac{t}{5700}}$$

$$p\left(t\right)=500\left(\frac{1}{2}\right)^{5700t}$$

The exponential model is not appropriate because there is a clear pattern in the graph of the residuals.

The exponential model is not appropriate because there is no clear pattern in the graph of the residuals

 The exponential model is appropriate because there is a clear pattern in the graph of the residuals.

 The exponential model is appropriate because there is no clear pattern in the graph of the residuals.

The quadratic model is not appropriate because there is a clear pattern in the graph of the residuals.

The quadratic model is not appropriate because there is no clear pattern in the graph of the residuals

 The quadratic model is appropriate because there is a clear pattern in the graph of the residuals.

 The quadratic model is appropriate because there is no clear pattern in the graph of the residuals.

Since the point is above the x-axis, for the father with a height of 68in, the model underestimates the sons height by 2.784in

Since the point is above the x-axis, for the father with a height of 68in, the model overestimates the sons height by 2.784in

Since the point is above the x-axis, for the son with a height of 68in, the model underestimates the fathers height by 2.784in

Since the point is above the x-axis, for the son with a height of 68in, the model overestimates the fathers height by 2.784in

Since the point is below the x-axis, for the father with a height of 76in, the model underestimates the sons height by 3.01in

Since the point is below the x-axis, for the father with a height of 76in, the model overestimates the sons height by 3.01in

Since the point is below the x-axis, for the son with a height of 76in, the model underestimates the fathers height by 3.01in

Since the point is below the x-axis, for the son with a height of 76in, the model overestimates the fathers height by 3.01in

Since the point is above the x-axis, for the AP Pre-Calc grade of 97, the model underestimates the AP Stats grade by 12.04

Since the point is above the x-axis, for the AP Pre-Calc grade of 97, the model overestimates the AP Stats grade by 12.04

Since the point is above the x-axis, for the AP Stats grade of 97, the model underestimates the AP Pre-Calc grade by 12.04

Since the point is above the x-axis, for the AP Stats grade of 97, the model overestimates the AP Pre-Calc grade by 12.04

Since the point is below the x-axis, for the AP Pre-Calc grade of 82, the model underestimates the AP Stats grade by 7.85

Since the point is below the x-axis, for the AP Pre-Calc grade of 82, the model overestimates the AP Stats grade by 7.85

Since the point is below the x-axis, for the AP Stats grade of 82, the model underestimates the AP Pre-Calc grade by 7.85

Since the point is below the x-axis, for the AP Stats grade of 82, the model overestimates the AP Pre-Calc grade by 7.85