Asymptotes

Answer = The first part of the graph resembles a bell shape. At the latter part of the graph it takes a sharp increase.

1. Use the graph below to predict what the results will look like if the null hypothesis is

Figure 1 Concentration of glucose relative to elution volume. Graph plotted using Excel. The equation of the line is represented by a 6th order polynomial (y = -4E-08x6 + 8E-06x5 - 0.0006x4 + 0.0184x3 - 0.2952x2 + 2.0705x - 4.6828) with a regression R² = 0.75191.

At first I did not not feel very confident when trying to answer this question because I could not remember the method involved when converting scale. I was able to interpret the question and I understood what it required; however, I could not recall the process involved in reaching the answer. After trying a few different methods and giving it some thought, I remembered what to do. I had learnt how to answer these questions in high school geography and I still had the knowledge, but I just had to go through the process of recalling it. So, the method I used to solve the problem was to write out the scale used in the diagram as a ratio, simplify it and then convert it to a written statement. Thus, I was unsure about how to answer this question

All i did for this one was basically calculate the slopes because I didn't want to over think the question. Based off the figures let's calculate the following slopes...

| 13. For the function y=1x, make a table with integer values of x from 0 to 4. Then graph the function (you do not need to submit the graph). Does the graph of show exponential growth, exponential decay, or neither? Explain your thinking.

Answer = A line graph will be appropriate because it supports the hypothesis because it provides clear results.

(–2, 4) and (1, 2) respectively in a two-dimensional plane using the printf() (only one is

Knowing this information, you need to first tell me, and then show this in your graph:

After interpreting the scatter plot, it is evident that the slope of the ‘best fit’ line is positive, which indicates that sales amount varies directly with calls. As call increases, the sales amount increases as well.

This regression equation can be graphed as follows assuming β0 as the intercept and β1 as the slope:

With zeros of a±b. If we say that a = 2 and b = -3, then this function has zeros of 2±(-3). In this form of zeros, we can say that 2 is the x value of the vertex coordinates, lying on the axis of symmetry of Y2 on the x-axis, and ±3 are just the distances between the mid point 2 to the points where Y2 intersects x-axis. It is clearly shown on the graph below.

The graph above shows a current ratio. It is used for measuring an ability of the company to pay off

the y-intercept being ln(������������ ) and the slope being ������. Hence: k o = ey−intercept . ������ = ������������������������������ × ������ (10) (11)

Figure 2 demonstrate how any change in one of the other determinants causes demand to rise or to fall by shifting the whole curve to the right or the left. Other factors that determinates of demand