Questions:

**Question 1**

f(x) is a linear function since the rate of change remains same for all the values. For every 1 unit increase in the value of x, f(x) tends to increase by 2 units.

g(x) is a cubic function with two roots as -1 and 0. Also, the rate of change does not tend to follow any uniform pattern with the values first decreasing and then increasing. Further, the rate of change also provides indication of concavity in the function.

h(x) is a quadratic function since rate of change while not being constant follows a pattern whereby it continues to decrease by 2 units. For instance, as x increases from -5 to -4, h(x) decreases by 14 units. Further increase in x decreases h(x) by 12 units, then 10 units and so on.** **

**Question 2**

- Scatter plot

- Based on the above scatter plot, it is apparent that the cubic model would be suitable in this case since there is a upwards concavity peaking at the inflection point x=5 after which there is a decline in the f(x) value and a downwards concavity is observed. Also, the rate of change does not function is a single direction. It tends to remain positive since the values of f(x) are increasing from x=1 to x=5. However, as the value of x further increases, the rate of change becomes negative. These features are characteristics of a cubic polynomial and hence this seems a reasonable model to capture the above trend.

- Cubic regression model

Where,

- Times in years needs to be determined for which the % of cigarette use = 0%

Here,

= ?

The acceptable value is 15.64 years.

Hence, 15.64 year is the times for which the % of cigarette use by 8^{th} graders would be 0%.

- Local extreme values (maximum and minimum) is shown below:

**Question 3**

- On examining the above data, it is apparent that the animals that are heavy in weight such as elephant, hippopotamus and rhinoceros tend to have a lower relative speed in comparison to deer, antelope and goat which are all light in weight. Hence based on the given data, it seems that there is an inverse relationship between mass and relative speed. Also, it makes sense that the relationship between the given variables is inversely proportional as the amount of energy required to run at a given speed would be lesser for a lighter weighed animal in comparison to a heavier counterpart.

- Power regression model

Therefore, the mass of zebra is 155.78 kg whose relative running speed is 8.16 m/sec.

**Question 4**

The vertical asymptote equation is x=7 since at this value, the denominator in the function becomes 0 and the function approaches a value of infinity.

**Question 5**

The horizontal asymptote equation is y=1 since in the given case, the degree of numerator and denominator seem to be same.

**Question 6**

The required sketch is as indicated below.

**Question 7**

- Maximum amount of drug in the body would be determined when

Now,

Hence, the maximum amount of drug in the body would be 13.76 and the maximum time would be 18.17 minutes.

- It is apparent that the shape of the graph in the given context from t=0 to t =18.17 minutes is exponential since there is surge in the concentration which tends to peak out by the 19
^{th}Clearly there is exponential trend especially at the beginning even though later the trend is quite linear.

- The slope from the maximum point to two hours after the drug indicates that there is a gradual decay as the concentration of the drug tends to first decay at a faster pace and then the pace of decay tends to slow down. The shape of this slope would be termed as broadly logarithmic except the starting period when the slope is quite steep.

- Equation of asymptotes

- Check for horizontal asymptotes

Here,

Degree of numerator = 1

Degree of denominator = 2

As the denominator’s degree is higher than the numerator’s degree then the horizontal asymptotes is the x axis and y = 0.

Therefore, the equation of horizontal asymptotes is y = 0.

- Check for vertical asymptotes

Vertical asymptotes are undefined points and also the zeroes of the denominator.

As per the given function,, there is no undefined points. Therefore, no vertical asymptotes.