R The data for the use of a certain cellar phone is represented in the table below. Let t represent time inyears, thus 2005 = year 5. Let f(t) represent users in thousands.62005tf(t) 82010 201514182020 2021 2022 2030 2035 204019 18.9 18.8A quadratic regression function for these data is given below.f(t) = -0.05t²+2t-1 where t is time in years and f(t) is users in thousands.Use a graphing calculator or desmos.com (https://help.desmos.com/hc/en-us/articles/4406972958733-Regressions) determine the following.a) Is the function a good model for the data, yes or no, explain.b) Using this model, predict the number of users (in thousands) for the year 2030.c) Using this model, predict the number of users (in thousands) for the year 2035.d) Between what years will there be zero users?e) If you were the CEO of this cellular phone company, what would you do based on this model? (There isno right or wrong answer for part e. But do take the question seriously; after all, this is an algebra ofbusiness and economics course.)f) Include your regression graph in your answer.

t 2005 2010 2015 2020 2021 2022 ft 8 14 18 19 18.9 18.8 ft=-0.05t2+2t-1 Note: We are allowed to…

Answered: The data for the use of a certain…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

BONUS: Find the matrix of the transformation on p2 that first reflects a vector about the x axis. then rotates the resulting vector by 7/3 counterclockwise. and finally projects orthogonaly (perpedicularly) onto the y axis. V3 1 2 V3 1 Oc. none of these 글이
Determine the best (according to sum-of-squares-measure) curve y = Aebx, through the dataabove.Transformed equationln(y) = ln(A) + bxorY = a + bx
The median weekly earnings for 16-24-year-old men employed full time are given below. Median Weekly Earnings in Constant 2008 Dollars Year 2000 2002 2003 2004 2005 2006 2008 Earnings, s (dollars) 375 391 398 400 409 418 461 (a) Why is a cubic model a reasonable choice for the data? A scatter plot of the data suggests a cubic function because it is increasing and is concave down before 2004 and concave up after 2004. O A scatter plot of the data suggests a cubic function because it is decreasing and is concave up before 2004 and concave down after 2004. O A scatter plot of the data suggests a cubic function because it is decreasing and is concave down before 2004 and concave up after 2004. O A scatter plot of the data suggests a cubic function because it is increasing and is concave up before 2004 and concave down after 2004. (b) Write a model for the weekly salary of 16-24-year-old men in constant 2008 dollars. (Be sure to use t as the independent variable. Align the input data so that…
The following graph plots the residuals of this regression over time. Does this graph suggest a specification problem? If so, outline the next steps you would take to improve your model.
The following data of regular growth (linear regression) sales for XYZ company during last eleven years (2005 to 2015): Student Name Student ID cW16 Years Sales 2005 5500 2006 6500 2007 7800 2008 9000 2009 11500 2010 10600 2011 10000 2012 8600 2013 10200 2014 10500 2015 10900 2016 2017 2018 2019 2020 eee Required: 1. Create a new worksheet "Q3", and enter the previous data in it. 2. Use the (FORECAST) functions to predict the expected sales for the following five years (2016 to 2020) "predict expected sales based on actual sales). Actual Sales Expected Sales
Part 1 of 3 Annual high temperatures in a certain location have been tracked for several years. Let x represent the number of years after 2000 and y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to three decimal places). X y 4 31.9 56 31.4 32.3 7 32 8 35 9 32.7 10 33.7 11 33.4 12 34.4 13 37.5 14 36.3 The equation is ŷ -
4. After purchasing your car, you want to determine how fuel economic your car is in comparison to other cars and come across the table on the right. Fuel Annual Efficiency Fuel Cost (L/100 km) ($) a) Looking at the annual fuel cost (dollars) with respect to the average miles per gallon, determine whether the data provided represents a linear, quadratic or exponential relationship. Hint: Find 1st difference, 2nd difference, etc. Toyota Prius 4 1248 Volkswagen Golf 8. 2496 Jeep Grand Cherokee 19 5928 Mercedes-Benz 20 6240 G Wagon c) Kiana drives a Chevrolet Volt with a fuel economy of 2.5 L/100 km. Use Hyundai Genesis Coupe 30 9360 the equation to determine her annual fuel cost. Assuming $1.30/L and an average of 24,000 km driven annually. * Giovanni drives a Jeep Grand Cherokee and paid $4992.00 last year in fuel. Use the equation to determine his car's average fuel efficiency. d)
Pls do fast its urgent and i will give like for sure... Try to give solution in typed form
Valero's 5k Fun Run was held yesterday in the downtown district. The top runner 4 runners (one of which was Kelly) finished in 21, 22, 23, and 24 minutes, respectively.. Determine the shirt color and finishing time of each of the top runners. 1. Ralph finished 1 minute after the competitor in the white shirt.2. The competitor in the black shirt finished sometime after the runner in the aqua shirt. 3. The contestant who finished in 23 minutes wore the orange shirt.4. Cesar was either the contestant who finished in 23 minutes or the contestant who finished in 24 minutes. 5. The competitor in the black shirt was either Ralph or Patrick.
The regression results obtained for the models: Model A: Balance Model B: Balance = = Model C: Balance = Variable Intercept are summarized in the following table. Time Prime Timex Prime 60 +61Prime + ε 60 +61 Time + 62 Prime + 63 Time × Prime + ɛ 60 +61 Prime + 6₂Time x Prime + ε, Model A 88,020 (t = 77.89) N/A -18,000 (t -11.26) N/A = 1,532,480,000 Model B 90,269 (t = 24.35) -148 (t H -0.64) -28,493 (t -5.36) 662 (t 2.03) = 0.7254 0.7198 F • 1,369,126,091 Model C 88,020 (t N/A -26,244 (t = -6.66) 514 (t = 2.27) 0.7547 0.7388 81.19) SSE R² Adjusted R² Note: The values of relevant test statistics are shown in parentheses beside the estimated coefficients. Using Model B, which of the following is the alternative hypothesis for testing the significance of Time? 1,381,128, 299 0.7526 0.7421
2
x y 1 771 2 760 3 787 4 766 5 833 6 878 Use linear regression to find the equation for the linear function that best fits this data. Round to two decimal places.y =

SEE MORE QUESTIONS

Recommended textbooks for you

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Basic Technical Mathematics

Advanced Math

ISBN:

9780134437705

Author:

Washington

Publisher:

PEARSON

Topology

Advanced Math

ISBN:

9780134689517

Author:

Munkres, James R.

Publisher:

Pearson,

SEE MORE TEXTBOOKS