hello please someone help me to answer this project.

Building Models from the Given Data A Flavor of Real Life Data and Modeling Health information databases and, in particular, birth databases are used very often by researchers in health related disciplines. Let us look at the real data on live birth given by women over 40 years old in Canada since 1974 up to 2005 and analyze this data. Imagine you are a researcher who studies the existing trends in pregnancy outcomes for different ages of females. Age of 40 and over interests you in particular due to the fact that more and more women tend to plan having their children late because of their career choices. Plus, the age of 40 and over is also very pro to various health complications during the pregnancy and birth, as well as negative side effects for newborns (like Down Syndrome, for instance). The First Task of the Project: In few complete sentences, state the goal of the project, keeping in mind interdisciplinary audience (use your instructor's explanations, your own understanding, the rst paragraph of this document and the paragraph above to help organize your thoughts) Problem (Health and Well-Being, Pregnancy and Birth Outcomes in Canada) Canadian Vital Statistics provides the following data on pregnancy outcomes (live birth, in particular) for women 40 years and over residing in Canada.1 Suppose you have researched it and found the following data: Live births (number of events) for females 40 years and over residing in Canada, N _ _ 1 Source: Statistics Canada, CAN SIM, table 106-9002 MAT200 Inquiry and Problem Solving Competency! Digital Communication Project for eP Depositing, Revised in Fall 2015 Give complete answers to each of the following questionsz: (a) Does the relation dened by the set of ordered pairs (t, N) in the table represent a function? Why or why not? Use your knowledge of the subject matter to explain and support your conclusion. Answer in full English sentences. 01) Use the Maple command Scatter-Plot to make a scatter diagram. Use t as the independent variable and N as the dependent variable. Begin your answer to this question with a sentence describing your diagram; for instance, write the following: \"Here is a scatter diagram ol'the given raw data." Alter you plot the diagram, comment (in full English sentence) on the type of relation that may exist between the two variables based on your observations (linear, quadratic, polynomial of higher degree, etc.). (c) Use Maple to nd a function of the best t to the data. Express the relationship using function notation and write your conclusion. NOTE: you may choose to work with the original years for time t or you car: shift your data and treat 1974 as 0. {fyou choose to shift the time tine, do not forget to treat every year accordingty. For example J1974 corresponds to 0, then the year of i975 corresponds to i, and so on. (d) Predict the number of live births given by females over 40 in Canada in 2006, 2007, 2010. What makes it possible to make this prediction? Provide answers in the text mode in full English sentences after you are done working with Maple commands. (e) Graph the scatter diagram and the graph of the best t function together. Include an appropriate title. (I) Predict in what year in the span of 197% 2005 the minimum number of live births were given by females of 40 years old and over in Canada and nd this minimum number of births. In other words, use your model and your knowledge of Pre-Calculus material to approximate the minimum number of births in the span of years provided. Explain your steps to get a full credit. (j) Reect on the model: Do you observe a steady increase or decrease in a number of live births given by females over 40 in Canada over the last decades? What do you think might account for this? Research this online and describe your ndings in addition to stating your own opinion (write at least one paragraph; may include images). (k) More Thinking: What do you think is more reliable: (1) making your predictions far beyond the span (or the range) of 19?4 2005; or (2) making predictions within the span (or the range) of a discrete set of given data points or just a little beyond it? Provide a well-reasoned