The following data represents the cost of manufacturing a particular toy. The number oftoys manufactured s represented by x in dollars and the cost is represented by C(x). Thepoints when plotted on a graph will fit a parabolic model. Graph the data and draw a bestfit curve. Then find the approximate number of toys that should be manufactured tominimize the cost.X100150250350500C(x)60004000200010602400Use the paperclip button below to attach files.* Student can enter max 3000 charactersXD G BI U2=S2-O

x C(x) 100 6000 150 4000 250 2000 350 1060 500 2400

Answered: The following data represents the cost…

Calculus: Early Transcendentals

8th Edition

ISBN:9781285741550

Author:James Stewart

Publisher:James Stewart

Chapter1: Functions And Models

Section: Chapter Questions

Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...

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Order the following points according to their decreasing distances to the point (1,-2) (-3,-2) (-1,2) (5,-1) (4,-5) > >
This was not the correct quadratic model for the data
Let f(x)f(x) be the height of a maple tree in inches and xx the number of years since 2000. A linear model for the data is f(x)=9.44x+84.182f(x)=9.44x+84.182.A) To the nearest inch, estimate the height of the maple tree in 2011. __?__ inchesB) Use the equation to find the year in which the tree will be 235 inches tall. __?__
Let �(�) be the height of a maple tree in inches and � the number of years since 2000. A linear model for the data is �(�)=9.44�+84.182.36912155060708090100110120130140150160170180190200210220A) To the nearest inch, estimate the height of the maple tree in 2012. inchesB) Use the equation to find the year in which the tree will be 249 inches tall.
Data was collected for a regression analysis comparing car weight and fuel consumption. b0 was found to be 32.7, b1 was found to be -7.6, and R2 was found to be 0.86. Interpret the y-intercept of the line. On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x=0, a car gets -7.6 miles per gallon. On average, when x=0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y-intercept in this problem.
The number (in millions) of employees working in educational services in a particular country was 13.8 in 2005 and 18.2 in 2014. Let x = 5 correspond to the year 200 and estimate the number of employees in 2010. Assume that the data can be modeled by a straight line and that the trend continues indefinitely. Use two data points find such a line and then estimate the requested quantity. ... Let y represent the number of employees. The linear equation that best models the number of employees (in millions) is (Simplify your answer. Use integers or decimals for any numbers in the equation. Round to the nearest hundredth as needed.) In 2010, the number (in millions) of employees working in education services would be (Type an integer or a decimal rounded to the nearest hundredth as needed.)
The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 25 different months. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. Note that you can use the graphing tools to help you approximate the line. y 100- 90+ 80+ ? 70+ Monthly heating cost (in dollars) 60+ 50+ 40+ 30- 20+ 10+ X + 0 10 20 30 40 50 60 70 80 90 100 Average monthly temperature (in °F) X X X X X X x X xx X X X X X xx X X X X X A X Ś (a) Write an approximate equation of the line of best fit. y = 0 (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. $0 X Ś ?
I just need the d section

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