please ignore part a. I need help in question2

1. The following Information comes from the Mayo Clinic Tracker and the 9g: Covid Tracker as of December S, 2021: STATE 96 Fully Deaths per 100,000 vaccinated {X} people {Y} California 64.1 187 Indiana 51.0 264 Maine 73.3 100 Texas 55.4 251 Tennessee 50.0 258 a] Using the data above, create a Scatter Diagram of the data. 0 Plot the pairs in the xiv coordinate plane. 0 Be sure to scale each axis consistently. I Be sure to label what each axis is measuring, in words. ' 93' K'? '51? ..|| 69%- 2. Another mathematical model for this same data set is the logistics function f (I) = 1660 1+o.ooaase-1\"51 ' a) Evaluate f(50). Explain what it means in the context of this problem and whether it seems accurate, based on the original table of data. bl Find the horizontal asymptote for this function by evaluating the limit of fix) as x approaches innity, using the method of your choice. cl Explain what your answer to part \"b\" means in the context of this problem and whether it makes sense. 3. Sketch the graphs of L(x} from #1 and fix} from #2 on the same xly axes. Be sure to use an appropriate scale for each axis and label in words what each axis is measuring. Which mathematical model, Lix) from #1 or fix] from #2 seems like a better model for the relationship between vaccination rate and death rate? Briefly explain. 4. The two mathematical models in this project describe the relationship between the 96 fully vaccinated and the death rate. In other words, the 96 fully vaccinated is being used to predict, accurately or not, the death rate. Even the best mathematical model is not perfectly aOCurate, especially over time. As conditions change, models need to change. List 5 specic conditions that might affect the accuracy of the models in this project. In other words, what are 5 different factors, other than vaccinate rate, that might impact the death rate