8. The total yearly revenue of a small company, in thousands of dollars, is given in the table below.Which model would best fit this data: quadratic, cubic, or exponential? Use the model to write abest-fit equation, then estimate the revenue of the company in 2020.Year Revenue20104.320118.3201210.52013201411.413.5

Now we have to the equation with graph using minitab and excel from that we have to decide those…

Answered: The total yearly revenue of a small…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Modeling Review Lead was banned as an ingredient in most paints in 1978, although it is still used in specialty paints. Lead usage in paints from 1940 through 1980 is reported in the accompanying table. Lead usage (thousands of tons) Year 1940 70 1950 35 1960 10 1970 5 1980 0.01 (a) Align the input data as years after 1940. Examine a scatter plot of the data. Find quadratic and exponential models for lead usage. (Round your coefficients to 3 decimal places.) Quadratic Model Q(x) = thousands of tons of lead was used in paints x years after 1940, for the years from 1940 through 1980. Exponential Model E(x) = thousands of tons of lead was used in paints x years after 1940, for the years from 1940 through 1980. (b) Based on how well each function fits the data, which model would be best for interpolating (estimating lead usage between 1940 and 1980). O The quadratic model would be best for interpolating because it fits the data better between 1940 and 1980. O Either model would work…
Is the table linear, quadratic or exponential? X y X y X y 1 5 1 1 2 9. 2 -1 2 9 13 3 3 27 4 17 4 3 4 81 5 21 8 243
Determine whether the following table shows exponential data or linear data. x 0 5 10 15 y 62 135.9 298 653.4 a) The data are linear.b) The data are exponential.
Find a graph or bar chart that represents a real situation where you could use a linear or exponential equation to model the data. Identify the type of function that is being modeled and why you believe it to be this type. Estimate the equation for the function.
Month Sales Forecast January 1000 1043 February 3000 March 5000 April 4000 May 5000 June 6000 Compute the forecast for the month of July using simple exponential smoothing. Take alpha = 0.2
Please help. Thank you .
. Fill in the "Years since 1970" column for the data to the right. Make a scatter plot in Excel of the data using Years since 1970 and Total Waste in Millions of Tons (Title your graph and label your axes appropriately). How would you best describe the trend? Add an exponential regression model to the data. Write the equation below. Is it a good fit? Explain how you know. Based on the exponential model, what is the growth rate per year? Explain the meaning of the growth rate in the context of the data. Using the exponential model, make a prediction of how much plastic will be in landfills (and the ocean gyres) by Year Years since 1970 Total Waste in Millions of Tons 1970 0 249 1980 10 798 1985 15 1200 1990 20 1740 1995 25 2440 2000 30 3390 2005 35 4600 2010 40 6060 2015 45 7820 Do you think recycling alone will solve this problem (See Q11 and Q12)? What are some of the challenges in recycling plastic that might hinder the world from recycling all plastic…
Please answer part C

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