Hudson Marine has been an authorized dealer for C&D marine radios for the past seven years. Suppose the quarterly sales values for the seven years of historical data are as follows.Total YearlySalesYearQuarter 1Quarter 2Quarter 3Quarter 41817113392112017563132724107441927231786522343021107625372821111727403329129a. Compute the centered moving average values (Four-Quarter Moving Average) for this time series (to 3 decimals).Centered MovingtSalesAverage1821731136.750435116207178891011243241327×

Given: Quarterly sales values for the seven…

Answered: Hudson Marine has been an authorized…

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

See similar textbooks

Similar questions

Find the mean hourly cost when the cell phone described above is used for 240 minutes.
John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)
The total amount of consumer credit has been increasing steadily in recent years. The following table gives the total outstanding consumer credit (in billions of dollars). Answer parts (a) through (e) below. Year 2004 2005 2006 2007 2008 Consumer Credit 2210.5 2303.8 2415.0 2540.9 2592.1 Year 2009 2010 2011 2012 2013 Consumer Credit 2557.5 2643.1 2759.0 2926.3 3094.2 a. Find an equation for the least squares line, letting x equal the number of years since 2000. The equation is Y=x+ (Use integers or decimals for any numbers in the equation. Round to two decimal places as needed.)
Suppose the table below gives the average tuition and fees at 2-year and 4-year state schools in a particular state. Values are adjusted to 2019 dollars. Academic Year 4-year state school 2-year state school 2005-06 $5,904 $2,661 2006-07 $6,066 $2,539 2007-08 $6,289 $2,604 2008-09 $7,222 $2,901 2009-10 $7,738 $3,065 2010-11 $8,035 $3,117 2011-12 $8,154 $3,108 2012-13 $8,497 $3,075 2013-14 $8,578 $3,025 2014-15 $9,390 $3,326 2015-16 $10,004 $3,504 2016-17 $10,474 $3,663 2017-18 $10,789 $3,830 2018-19 $10,874 $3,859 2019-20 $10,900 $3,907 Here is a graph of the information from the table. a. What is the absolute change in tuition and fees at this state's four-year institutions from 2005-06 to 2019-20? b. What is the relative change in tuition and fees at this state's four-year institutions from 2005-06 to 2019-20? Round to the nearest whole percentage…
The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 185.79 July. 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 May 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.93 Test for significance of regression using α=0.01 (Use ANOVA). Calculate the r2 of the model. Find a 99% CI for .
The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 185.79 July. 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 May 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.93 Suppose that the monthly average temperature is 47 F. Calculate the fitted value of y and the corresponding residual. Test for significance of regression using α=0.01 (Use ANOVA). Calculate the r2 of the model. Find a 99% CI for .
The following information on maintenance and repair costs and revenues for the last two years is available from the accounting records at Arnie’s Arcade & Video Palace. Arnie has asked you to help him understand the relation between business volume and maintenance and repair cost. Month Maintenance and Repair Cost ($000) Revenues ($000) July $2.31 $59.00 August 3.28 53.00 September 2.80 49.00 October 2.21 65.00 November 2.30 77.00 December 1.14 105.00 January 3.12 45.00 February 3.16 51.00 March 3.02 61.00 April 2.98 63.00 May 2.04 67.00 June 1.78 79.00 July 2.60 73.00 August 2.02 67.00 September 2.57 75.00 October 2.38 77.00 November 1.43 87.00 December 0.76 117.00 January 2.58 61.00 February 2.28 63.00 March 1.69 83.00 April 1.95 87.00 May 1.95 73.00 June 1.33 69.00 Required: Using Excel, estimate a linear regression with maintenance and repair cost as the dependent variable and revenue as the independent variable.…
The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year's usage and temperatures are in the following table: Usage/ Month Temp. 1000 Month 21 185.79 July. 24 214.47 Aug. 32 288.03 Sept. 47 424.84 Oct. 50 454.58 Nov. 59 539.03 Dec. Jan. Feb. Mar. Apr. May June Temp. 68 74 62 50 41 30 Identify which are the independent and dependent variables. Usage/ 1000 621.55 675.06 562.03 452.93 369.95 273.98
Here are annual revenue data in billions of dollars for the 10-year period 2008-2017 for two well-known retailers: Amazon: 19.1; 24.5; 32.4; 48.1; 61.1; 74.5; 89.0; 107.9; 136.0; 177.9. Walmart: 402.2; 406.1; 420.0; 445.0; 467.2; 474.5; 483.5; 480.0; 482.2; 496.8. For each company, use linear extrapolation in Excel to forecast revenue in the year 2021. (Hint: Use either the Trendline option or the Regression tool.) Using the regression tool in Excel (with a constant term), in 2021, Amazon's stock price is forecasted to be $ and Walmart's is forecasted to be $ (Enter your responses rounded to two decimal places.)
A famous Chinese restaurant would like to find out the change in demand on its dim-sum. After checking its purchase records in 2020 and 2021, the restaurant collected the data as follows: 2020 2021 Items Price ($) Quantity Price ($) Quantity Shrimp Dumpling 10 60 12 69 Spring Roll 7 51 62 Chicken Feet 8 73 9 77 (a) Using 2020 as the base year, calculate the Laspeyres Price Index of 2021. (b) Using 2020 as the base year, calculate the Paasche Price Index of 2021. (c) Using the result in part (a) and (b), calculate the Fisher Price Index of 2021.
1. The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in degF) for that month. The past year's usage and temperature are shown in the following table: Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 185.79 July 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 May 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.98 (a) Assuming that a simple linear regression model is appropriate, fit the regression model relating steam usage (y) to the average temperature (x). (b) What is the estimate of expected steam usage when the average temperature is 55F?
3. The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in °F) for that month. The past year's usage and temperatures are in the following table: Month Temp. Usage/1000 Jan. Feb. Mar. 21 Dec. 24 32 Apr. May June July Aug. 74 Sept. 62 Oct. Nov. 47 50 59 68 50 41 30 185.79 214.47 288.03 424.84 454.58 539.03 621.55 675.06 562.03 452.93 369.95 273.98 Assuming that a simple linear regression model is appropriate, fit the regression model relating steam usage (y) to the average temperature (x). (a) Find a 99% confidence interval for B₁. (b) Find a 99% confidence interval for B. (c) Find a 95% confidence interval on mean steam usage when the average temperature is 51°F. (d) Find a 95% prediction interval on steam usage when the temperature is 51°F.

SEE MORE QUESTIONS

Recommended textbooks for you

College Algebra (MindTap Course List)

Algebra

ISBN:

9781305652231

Author:

R. David Gustafson, Jeff Hughes

Publisher:

Cengage Learning

Intermediate Algebra

Algebra

ISBN:

9780998625720

Author:

Lynn Marecek

Publisher:

OpenStax College

Functions and Change: A Modeling Approach to Coll…

Algebra

ISBN:

9781337111348

Author:

Bruce Crauder, Benny Evans, Alan Noell

Publisher:

Cengage Learning

College Algebra (MindTap Course List)

Algebra

ISBN:

9781305652231

Author:

R. David Gustafson, Jeff Hughes

Publisher:

Cengage Learning

Intermediate Algebra

Algebra

ISBN:

9780998625720

Author:

Lynn Marecek

Publisher:

OpenStax College

Functions and Change: A Modeling Approach to Coll…

Algebra

ISBN:

9781337111348

Author:

Bruce Crauder, Benny Evans, Alan Noell

Publisher:

Cengage Learning

SEE MORE TEXTBOOKS