Concept explainers
Joint Strike Fighter program. The Joint Strike Fighter (JSF) program, operated by the U.S. Department of Defense, is a global defense program that involves acquisition of military fighter jets for participating allied countries. An article in the Air & Space Power Journal (March-April 2014) reported on the estimated annual cost of adding a military aircraft to the JSF program. The table below lists the year of in initial operation and cost (in millions of dollars) for 12 JSF military aircraft models. For this problem, let y = estimated annual cost and x = year of initial operation for each aircraft model.
a. Fit the simple linear regression model, E (y) = β0 + β1x, to the data.
b. If possible, give a practical interpretation of they-intercept of the line.
c. Give an estimate of the increase in the cost of adding a military aircraft to the JSF program each year. (Hint: Practically interpret the slope of the line.)
Want to see the full answer?
Check out a sample textbook solutionChapter 11 Solutions
Statistics for Business and Economics (13th Edition)
- What is the total effect on the economy of a government tax rebate of $500 to each household in order to stimulate the economy if each household will spend of the rebate in goods and services?arrow_forwardMorning House is a mail-order firm which carries a wide range of rather expensive art objects for homes and offices. It operate problems would be greatly reduced. Since it takes approximately six weeks to receive 90% of the response to a given campaign, an accurate prediction of total sales made as late as the end of the first week of receiving orders would be useful. The first week’s sales and total sales of the last 12 campaigns of the firm are shown below. Can the first week’s sales be used to predict total sales? First week’s Total Campaign Sales Sales 1 32 167 2 20 91 3 114 560 4 66 335 5 18 70 6 125 650 7 83 401 8 65 320 9 94 470 10 5 15 11 39 210 12 50 265 --------------------------------------------arrow_forwardThe sales manager of a large automotive parts distributor wants to estimate the total annual sales for each of the company’s regions. Five factors appear to be related to regional sales: the number of retail outlets in the region, the number of automobiles in the region registered as of April 1, the total personal income recorded in the first quarter of the year, the average age of the automobiles (years), and the number of sales supervisors in the region. The data for each region were gathered for last year. For example, see the following table. In region 1 there were 1,739 retail outlets stocking the company’s automotive parts, there were 9,270,000 registered automobiles in the region as of April 1, and so on. The region’s sales for that year were $37,702,000. constant outlet automobile reg income age bosses 37.702 1,739 9.27 85.4 3.5 9 24.196 1,221 5.86 60.7 5 5 32.055 1,846 8.81 68.1 4.4 7 3.611 120 3.81 20.2 4 5 17.625 1,096 10.31 33.8 3.5 7 45.919 2,290 11.62 95.1…arrow_forward
- A company's annual production of ethanol, used as fuel for automobiles, was 7.7 million gallons in 2008 and has grown by about 27% per year since then. Predict when annual ethanol production will reach 38 million gallons. Annual ethanol production will reach 38 million gallons in approximately (Round to nearest whole number as needed.)arrow_forwardin the early 1970s there were approximately 40,000 trees lining the streets of Newton. Today, that number is about 26,000-a 35% loss. The current annual rate of decline is about 650 trees per year. At this rate, if unchecked, public street trees would diminish to approximately 10,000 within a generation (25 years), and in 40 years, public street trees would no longer be part of the Newton landscape. a) show work for how that loss comes to be 35% b) show work for how it comes to be a decline of 650 trees per yeararrow_forwardChapter 3, Section 1, Exercise 001 State whether the quantity described is a parameter or a statistic and give the correct notation.Average household income for all houses in the US, using data from the US Census.arrow_forward
- What do the Forecast for each year add up to?arrow_forwardAccording to a report published by the center for Disease Control (CDC) in 2011, approximately one in two people with asthma had an asthma attack in2008.arrow_forwardYear Quarter Price 2010 1 263600 2010 2 264100 2010 3 259500 2010 4 248900 2011 1 251400 2011 2 259200 2011 3 251400 2011 4 252000 2012 1 272300 2012 2 258600 2012 3 265500 2012 4 291200 2013 1 290500 2013 2 302400 2013 3 322900 2013 4 331000 2014 1 324700 2014 2 344400 2014 3 327500 2014 4 355400 2015 1 347200 2015 2 341000 2015 3 330800 2015 4 370300 2016 1 350800 2016 2 380000 2016 3 368600 2016 4 371100 2017 1 372500 2017 2 386300 2017 3 385500 2017 4 409700 2018 1 408000 2018 2 423400 2018 3 404300 Predictive Analytics: Time-Series Forecasting: The above contains data on median home prices in the West Census region quarterly from 2010 to2018. Easter Realtor, Inc. is interested in houses in this region. They want to use this data toforecast home price in the fourth quarter of 2018. For cross-validation, use the training set fromthe first quarter of 2010 to the fourth quarter in 2016, and use a validation set…arrow_forward
- Intergarated products Need to estimate its pc sales for the nextnext year. the most recent six years of revenue data for the companys line of xt personal computers and those of the industry, is found in the table below; Year XT PC Sales (000,000) All Industry PC Sales Revenue 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 a) Assuming that the sales data above are representative of sales expected next year , use time series regression analysis to forecast next years sales b) determine the correlation correlation for he ime forecast and interpret is meaning c) find the coefficient of determination for the time series forecast and intpret it s meaning d) perform a regression analysis between the annual sales revenues of XT Personal computers and all personal computers if the estimate of next years industry PC sales revenues is $21.9 billion? e) which independent variable should intergrated products coporation IPC choose for its forcasting of sales…arrow_forwardYou may need to use the appropriate appendix table or technology to answer this question. Advertisers contract with internet service providers and search engines to place ads on websites. They pay a fee based on the number of potential customers who click on their ad. Unforțunately, click fraud-the practice of someone clicking on an ad solely for the purpose of driving up advertising revenue–has become a problem. Businessweek reports that 4C percent of advertisers claim they have been a victim of click fraud. Suppose a simple random sample of 390 advertisers will be taken to learn more about how they are affected by this practice. (Round your answers to four decimal places.) (a) What is the probability that the sample proportion will be within ±0.04 of the population proportion experiencing click fraud? (b) What is the probability that the sample proportion will be greater than 0.45?arrow_forwardThe Lawson Fabric Mill Produces five different fabrics. Each fabric can be woven on one or more of the mill’s 36 looms. The sales department’s forecast of demand for the next month is shown in below Table 1, along with data on the selling price per yard, variable cost per yard, and purchase price per yard. The mill operates 24 hours a day and is scheduled for 30 days during the coming month. The mill has two types of looms: draw and regular. The draw looms are more versatile and can be used for all five fabrics. The regular looms can produce only three of the fabrics. The mill has a total of 36 looms: 8 are draw and 28 are regular. The rate of production for each fabric on each type of loom is given in below Table 2. The time required to change over from producing one fabric to another is negligible and does not have to be considered. The Lawson Fabric Mill satisfies all demand with either its own fabric or fabric purchased from another mill. Fabrics that cannot be woven at the…arrow_forward
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
- Algebra: Structure And Method, Book 1AlgebraISBN:9780395977224Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. ColePublisher:McDougal Littell