Using Data set G in the pictures, calculate R2, and calculate t-critical. a=5.05 1:29AAA demo-cf-media.mheducation.comDataExtra SheetMileage and Vehicle Weight (n = 73 vehicles)VehicleWeightCity MPGRegreAcura TL396820Audi A5358322Leaming StatsBMW 4 Series 428i347022Copyright© 2019byThe McGraw-Hill CompaniesBMW X1 sDrive28i352723Buice LaCrosse399018This spreadsheet is intended solelyfor educational purposes bylicensed users of ConnectBuick Enclave472417Buick Regal369221Cadillac ATS331522Cadillac CTS361620Cadillac Escalade552714Chevrolet Camaro 1SS371916GASChevrolet Cruze LS309726Chevrolet Impala LTZ380019Chevrolet Malibu 2LT353225Chevrolet Spark LS226931Chevrolet Suburban LTZ567415Chrysler 200 Touring LXChrysler 300 SDodge Charger SXTDodge Dart LimitedFiat 500 Sport340220402919399619324223243431Ford Fiesta S257529Ford Focus SE296027Ford Mustang GT361815Ford Taurus405419Honda Accord LX319224Honda CRV LX330523Hyundai Azera LimitedHyundai Genesis 5.0360519424015Hyundai Santa Fe GLSInfiniti Q60393318363319Infiniti QX50379017Jaguar F-TypeJeep Compass LimitedJeep Grand Cherokee Limited347720325821468517Kia Forte LX277625Kia Soul261524Kia Sportage LXLand Rover Range Rover SportLexus IS 250318621513713346121Lexus LS 460423316Lexus RX 350417818Lincoln MKT470217Lincoln MKZ371322Lincoln Navigator579414Mazda 2230628Mazda CX-5 Sport319426Mercedes-Benz C-250342822Mercedes-Benz CL600489412Mercedes-Benz ML350475117Mini-Cooper260529Mitsubishi Outlander Sport SE329625Nissan Armada SV526713Nissan Cube S278925Nissan Maxima SV357019Nissan Murano SV401118Nissan Versa S236327Porsche CayenneScion FR-S439815280625Scion iQ212736Scion XD266527Suburu Forester 2.5i Limited34192424Suburu Legacy 2.5i LimitedToyota Camry XLEToyota Land CruiserToyota RAV4 XLEToyota YarisVolkswagen Beetle 2.5LVolkswagen Jetta SEVolkswagen Toureg V6 SportVolkswagen Passat SE3427328025576513346524229530303822307025471117323024Volvo S60 T5352821Volvo XC90466716 1:30AAA demo-cf-media.mheducation.comSUMMARY OUTPUTRegression StatisticsMultiple R 0.89432884ning StatsR Square 0.79982408Adjusted R Sqūa70047ight © 2019byw-Hill CompaniesStandard Ero23811269Observations73eet is intended solelyonal purposes byers of Connect®ANOVAdfMSF Significance FRegression1 1421.03539 1421.03539 283.68802 1.66697E-2Residual71 355.649537 5.00914841Total72 1776.68493Coefficients indard Errot StatP-value Lower 95%| Upper 95% ower 95.0%Upper 95.0%Intercept40.0831549 1.15258813 34.7766509 2.48619E-4 37.7849595 42.3813504 37.7849595 42.3813504Weight-0.005167 0.00030678-16.843041 1.66697E-2-0.0057787|-0.0045553 -0.0057787 -0.0045553

The r-square is given by R2 =SSRSST =0.7998

Answered: Using Data set G in the pictures,…

Math

Statistics

Using Data set G in the pictures, calculate R2, and calculate t-critical. a=5.05

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter2: Systems Of Linear Equations

Section2.4: Applications

Problem 1EQ: 1. Suppose that, in Example 2.27, 400 units of food A, 600 units of B, and 600 units of C are placed...

See similar textbooks

Similar questions

PCBs and Pelicans. Polychlorinated biphenyls (PCBs), industrial pollutants, are known to be carcinogens and a great danger to natural ecosystems. As a result of several studies, PCB production was banned in the United States in 1979 and by the Stockholm Convention on Persistent Organic Pollutants in 2001. One study, published in 1972 by R. Risebrough, is titled “Effects of Environmental Pollutants Upon Animals Other Than Man” (Proceedings of the 6th Berkeley Symposium on Mathematics and Statistics, VI, University of California Press, pp. 443–463). In that study, 60 Anacapa pelican eggs were collected and measured for their shell thickness, in millimeters (mm), and concentration of PCBs, in parts per million (ppm). The data are on the WeissStats site. a. obtain and interpret the standard error of the estimate. b. obtain a residual plot and a normal probability plot of the residuals. c. decide whether you can reasonably consider Assumptions 1–3 for regression inferences met by the two…
5. A consumer buying cooperative tested the effective heating area of 20 different electric space heaters with different wattages. Here are the results. Heater Wattage Area 1 750 291 2 1,750 83 3 1,250 215 4 1,750 209 5 1,500 295 6 750 153 7 1,000 40 8 750 166 9 1,250 115 10 1,250 146 11 750 113 12 1,000 56 13 1,750 284 14 1,000 45 15 750 82 16 1,250 175 17 750 150 18 1,500 231 19 1,000 87 20 750 52 Click here for the Excel Data FileRequired:a. Compute the correlation between the wattage and heating area. Is there a direct or an indirect relationship? (Round your answer to 4 decimal places.) b. Conduct a test of hypothesis to determine if it is reasonable that the coefficient is greater than zero. Use the 0.050 significance level. (Round intermediate calculations and final answer to 3 decimal places.)H0: ρ ≤ 0; H1: ρ > 0 Reject H0 if t > 1.734…
Two different types of polishing solutions are being evaluated for possible use in a tumble-polish operation for manufacturing interocular lenses used in the human eye following cataract surgery. Three hundred lenses were tumble polished using the first polishing solution, and ofthis number, 253 had no polishing-induced defects. Another 300 lenses were tumble-polishedusing the second polishing solution, and 196 lenses were satisfactory upon completion.(a) Is there any reason to believe that the two polishing solutions differ? Use α = 0.01
No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp. 433 370 23518 78713 4 1833 3630 1 131 83 15724 42774 4 1056 3157 1 204 169 24506 27222 4 1405 8732 1 100 70 21667 37040 4 1912 3407 1 220 137 20712 12030 4 1006 1155 1 89 69 12640 13674 3 873 3613 1 26 18 4258 19130 3 487 1946 1 143 72 35210 33521 4 2011 7199 1 171 126 20548 19612 4 1135 3135 1 21 15 23442 5557 3 605 5506 2 3 2 287 163 1 2 42 2 2 2 1508 314 1 15 155 2 6 4 624 2622 1 27 554 2 52 47 2471 4219 2 292 929 3 74 63 4307 5357 2 454 1427 3 13 12 673 1061 1 20 325 3 17 13 817 707 1 84 267 3 169 147 8986 10421 3 534 2083 3 51 41 3145 4140 2 220 697 3 55 44 4076 7125 2 176 1446 3 84 76 3806 8994 2 423 1014 3 61 47 4276 5504 2 464 1291 3 27 22 1239 716 1 22 356 4 200 178 9423 8926 3 200 2314 4 294 250 11045 11121 3 189 2727 4 38 32 1916 2283 1 29 682 4 17 14 599 364 1 21 197 4 34 28 2063 1813 1 20…
Show what correction (using the generalized least squares method) we should use if the form of heteroskedasticity was the following, show mathematically For both a) and b)
SO what would be the L, Lq, and Wq of this problem? Assuming we are trying to develop and sovle a waiting line system that can accomodate this increased leel of passenger traffic.
9. A research center claims that 24% of adults in a certain country would travel into space on a commercial flight if they could afford it. In a random sample of 700 adults in that country, 28% say that they would travel into space on a commercial flight if they could afford it. At α=0.05, is there enough evidence to reject the research center's claim? Complete parts (a) through (d) below. Question content area bottom Part 1 (a) Identify the claim and state H0 and Ha. Identify the claim in this scenario. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal. Do not round.) A. The percentage adults in the country who would travel into space on a commercial flight if they could afford it is not enter your response here %. B. No more than enter your response here % of adults in the country would travel into space on a commercial flight if they could afford it. C. At least…
lineer sistemin varsa çözümünü bulunuz. (Gauss Metodunu uygulayınız.)
2.43 In the 2009 stress tests applied to the nation’s biggest banks, the U.S. government determined that 10 of them needed a greater cushion of capital in order to absorb losses in a worst-case economic scenario. The banks, the bailout they received, and the additional cushion they were deemed to need are as shown below. Source: “Bank Stress-Test Results,” USA Today, May 8, 2009, p. 3B. x = Bailout y = Added Cash Bank Received Cushion Needed Bank of America $45.0 billion $33.9 billion Wells Fargo 25.0 13.7 GMAC 5.0 11.5 Citigroup 50.0 5.5 Regions 3.5 2.5 SunTrust 4.9…
PCBs and Pelicans. Polychlorinated biphenyls (PCBs), industrial pollutants, are known to be carcinogens and a great danger to natural ecosystems. As a result of several studies, PCB production was banned in the United States in 1979 and by the Stockholm Convention on Persistent Organic Pollutants in 2001. One study, published in 1972 by R. W. Risebrough, is titled ‘‘Effects of Environmental Pollutants Upon Animals Other Than Man’’ (Proceedings of the 6th Berkeley Symposium on Mathematics and Statistics, VI, University of California Press, pp. 443–463). In that study, 60 Anacapa pelican eggs were collected and measured for their shell thickness, in millimeters (mm), and concentration of PCBs, in parts per million (ppm). Following is a relative-frequency histogram of the PCB concentration data.
IN excel if possibleGreat Grasslands Grains, Inc. (GGG) manufactures and sells a wide variety of breakfast cereals. GGG’sproduct development lab recently created a new cereal that consists of rice flakes and banana-flavoredmarshmallows. The company’s marketing research department has tested the new cereal extensivelyand has found that consumers are enthusiastic about the cereal when 16-ounce boxes contain at least1.6 ounces and no more than 2.4 ounces of the banana-flavored marshmallows.As GGG prepares to begin producing and selling 16-ounce boxes of the new cereal, which it has namedGo Bananas management is concerned about the amount of banana-flavored marshmallows. It wants tobe careful not to include less than 1.6 ounces or more than 2.4 ounces of banana-flavoredmarshmallows in each 16-ounce box of Go Bananas. Tina Finkel, VP of Production for GGG, hassuggested that the company measure the weight of banana-flavored marshmallows in a random sampleof 25 boxes of Go Bananas on a weekly…
4) Here are data on the lengths of male and female roaches (in mm). Your job is to find out if there is adifference between male and female roaches (this should be two sided - why?).males 15.4 13.9 12.7 9.6 6.6 10.7 9.9 13.3 16.2 9.0 11.4 16.6 12.2females 16.7 16.3 12.8 16.9 15.1 12.8 18.7 18.3 8.6 13.6 15.3 16.2 13.4It's up to you to figure out what the best procedure is, what kind of hypotheses to use, which α to use,what test to use, and so on. Make sure you follow all the appropriate steps. You should probably use Ras you’ll get done much quicker. Remember to very clearly state your results in writing. Never turn in just an R printout .Hint: how do you decide which test to use? What kind of distributions do the data have?