<) Write a linear/exponential equation that models this situation (consistent with your choice above). Time is the explanatory variable, and New Covid Cases is the response variable. 4) Explain what the slope/multiplier (consistent with your choice above) means in this context of the problem. Be sure to use units and to write a clear sentence.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Let’ pretend that in an American city there were 2000 new cases on Monday which is a 12% decrease from two weeks ago. So it appears that new covid cases are going down (wahoo!) with a two-week trend of -12%. Curious… how many new cases were there two weeks ago? (don’t round for accuracy) I need only questions D and C answered. A Bartleby tutor has already helped me answer A and B previously
3. Consider this data about COVID-19 from a certain city.
Weeks since 10th
New Cases
Case
165
130
115
90
65
40
a) Make a table with Weeks since 10 Case in the first column and
New Covid Cases in the second column. Screenshot in the data
table.
b) Make a scatterplot with line/curve of best fit (choose the best
option visually). Screenshot in the scatterplot. (note: one exam
question has linear growth, while another exam question has
exponential growth. Choose the best model visually for the
exam question. You may want to do next exam question first to
confirm your choice. Tip: one exam question has an obvious
curve to it.)
c) Write a linear/exponential equation that models this situation.
(consistent with your choice above). Time is the explanatory
variable, and New Covid Cases is the response variable.
d) Explain what the slope/multiplier (consistent with your choice
above) means in this context of the problem. Be sure to use
units and to write a clear sentence.
e) Use your model to predict when there will be 100 new cases.
Transcribed Image Text:3. Consider this data about COVID-19 from a certain city. Weeks since 10th New Cases Case 165 130 115 90 65 40 a) Make a table with Weeks since 10 Case in the first column and New Covid Cases in the second column. Screenshot in the data table. b) Make a scatterplot with line/curve of best fit (choose the best option visually). Screenshot in the scatterplot. (note: one exam question has linear growth, while another exam question has exponential growth. Choose the best model visually for the exam question. You may want to do next exam question first to confirm your choice. Tip: one exam question has an obvious curve to it.) c) Write a linear/exponential equation that models this situation. (consistent with your choice above). Time is the explanatory variable, and New Covid Cases is the response variable. d) Explain what the slope/multiplier (consistent with your choice above) means in this context of the problem. Be sure to use units and to write a clear sentence. e) Use your model to predict when there will be 100 new cases.
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