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
In 2015, Barangay Mayamot has a population of 45, 300. Each year, the population increases at a rate of about 5%. a. What is the growth factor of the barangay? b. Determine an equation to represent the problem. C. What is the population of the barangay in 2022, use the equation in letter b? d. If the population continues to increase at the same rate, what is the population in 2025?
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.
The graph shows the amount of a medicine m, in milligrams, remaining in a patient’s body h hours after receiving an injection. The amount of the medicine decreases exponentially. Write an equation relating m, the number of milligrams of the drug in the patient’s body, and h, the number of hours since the injection.
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.
hand written plzz The table shows the number of cars manufactured in thousands by a company for selected years. Use a calculator to write a quartic model for the number of cars manufactured in a given year since 2000. Then use the model to estimate the number of cars manufactured in 2011. 2005 2007 2008 2010 2012 Year Cars manufactured 138.5 183.1 194.8 204.3 242.8 (thousands) f(x) = 0.808x³+21.028x²-187.403x + 373.988 The estimated number of cars manufactured in 2011 is about 218. f(x) = 0.135x4-3.807x³ + 36.285x2-118.073x + 213.2 The estimated number of cars manufactured in 2011 is about 215. f(x) = 0.135x4 +3.807x³-36.285x2 + 118.073x - 213.2 The estimated number of cars manufactured in 2011 is about 215. f(x)=0.808x³ - 21.028x² + 187.403x373.988 The estimated number of cars manufactured in 2011 is about 218.
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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
Use the table to answer the question. Hours Number of Bacteria 0 20 million 4 22 million 8 25 million 12 28 million 16 32 million 20 36 million 24 40 million 28 45 million The scatterplot of these data, when graphed, reveals what relationship between hours and the number of bacteria? Explain. The scatterplot reveals that hours and number of bacteria have a strong exponential relationship since the points closely follow an exponential curve. Since the number of bacteria increases as time increases, the relationship is negative. The scatterplot reveals that hours and number of bacteria have a strong exponential relationship since the points closely follow an exponential curve. Since the number of bacteria increases as time increases, the relationship is positive. The scatterplot reveals that hours and number of bacteria have a strong linear relationship since the points closely follow a line. Since the number of bacteria increases as time…
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