Question 8The following table of values gives a company's annual profits in millions of dollars. Rescale the data so that the year 2003 corresponds to x = 0.Year2003 2004 2005 2006 2007 2008Profits (in millions of dollars) 51.7 53.2Use the exponential regression model to predict the company's profits in 2010.a) $59.4 millionb) $62.1 millionc)$58.1 milliond)$60.7 millione) $63.4 millionf) None of the above51.9 52.2 56.158.3Review Later

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Answered: Question 8 The following table of…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

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The following chart shows estimated January retail inventories in the United States in 2000, 2005, and 2007 (t = 0 represents 2000). Year t 0 5 7 Inventory ($ billion) 390 430 510 Find the regression line (round coefficients to two decimal places).
You are the manager of a firm that sells a leading brand of alkaline batteries. Click on the link below to access data on the demand for your product. Specifically, the file contains data on the natural logarithm of your quantity sold, price, and the average income of consumers in various regions around the world.Use the information provided in the excel spreadsheet to perform a log-linear regression. LN Quantity LN Price LN Income 1.07 1.15 4.4 1.07 1.09 4.39 1.08 0.97 4.4 1.08 1.04 4.39 1.09 0.92 4.39 1.08 0.96 4.39 1.1 0.77 4.39 1.1 0.79 4.39 1.08 1.06 4.39 1.07 1.13 4.39 1.08 0.96 4.4 1.08 1.02 4.39 1.09 0.82 4.39 1.07 1.1 4.39 1.09 0.9 4.39 1.1 0.77 4.39 1.09 0.91 4.4 1.08 1.07 4.4 1.09 0.88 4.39 1.07 1.16 4.39 1.08 1.08 4.4 1.08 1 4.39 1.09 0.88 4.39 1.07 1.13 4.4 1.07 1.09 4.39 1.11 0.64 4.39 1.09 0.9 4.39 1.07 1.19 4.4 1.06 1.27 4.39 1.08 0.94 4.39 1.07 1.1 4.4 1.13 0.28 4.39 1.08 0.97 4.4 1.09 0.86 4.4…
NAME: 2. The table below gives the U.S. population for selected years from 1950 to 2010. Year Population (millions) 1950 1960 1970 151.3 179.3 203.3 1980 226.5 1990 248.7 2000 281.4 308.7 2010 (a) Using an exponential function of the form y = a b*, with x = 0 in 1900 and y equal to the population in millions, write an equation that models the data. Round a and b to 2 decimal places. (b) Use the model to predict the population in 2020. (c) Use your graph to predict when the population will be 400 million. Round x to the nerest whole number.
Which of the following variables could be the dependent variable in a Logistic Regression? BMI Survival (yes or no) Grade in School All of the above
determine the equation of the logarithmic regression function for the data. x, 1,2,3,4,5,6 y, 0.0, 3.2,4.5,5.0,5.4,5.6
Estimates for Medicare are given below: Year Cost (billion dollars) 1995 157 1996 178 1997 194 1998 211 1999 229 2000 247 Write the linear equation using the years 1997 and 2000. Write the linear regression equation Using the regression equation, predict the Medicare cost this year. Using the regression equation, interpret the slope in terms of this problem.
The following table of values gives a company's annual profits in millions of dollars. Rescale the data so that the year 2005 corresponds to x = 0. Year 2005 2006 2007 2008 2009 2010 Profits (in millions of dollars) 51.8 63.4 66.3 65.8 62.1 63.8 Find the exponential regression model for this data.
Use Regression to Find and Use an Exponential Model to answer the questions: The numbers of polio cases in the world are shown in the table for various years. Year Number of Polio Cases (thousands) 350 138 1988 1992 1996 36 2000 4 2005 3.2 2007 1.3 Let f(t) be the number of polio cases in the world t years since 1980. The exponential regression equation for the data above is: f(t) = 3837.25(0.74)* Predict the number of polio cases in 2009. Hint Predict in which year there will be 1 case of polio. Find the approximate half-life of the number of polio cases. Round your answer to one decimal place. years
A manager believes that sales (S) (in $) is a function of the amount of work (H) and commission paid (C). Given data for both variables, the manager ran a regression analysis with the output shown here. Coefficients t Stat P-value Intercept 100 1.80 0.1008 Work Hours -2.20 0.01 Commission 2.66 0.04 Write down the regression model/ equation between the dependent and independent variables, and find the amount of sales for H=2 and c=5 I X2 x2 三三三 of 1.
b. Find the equation of the regression line for the minutes the actor appeared shirtless in a film and the film's opening weekend gross. y = ___x + ____(Round to two decimal places as needed)
Use the data given below to answer a -c. Heigh (IN) 71 70.5 71 72 70 66.5 70 71 Weight (lb) 125 119 128 128 119 127 123 105 Find the regression equation letting the first variable (height) to be the independent variable (x). Find the best-predicted weight for a person whose height is 69in. What percentage of the variation in weight can be explained by the linear relationship between height and weight.

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