Question

price assess bdrms lotsize sqrft colonial lprice lassess llotsize lsqrft 300 349.1 4 6126 2438 1...

price assess bdrms lotsize sqrft colonial lprice lassess llotsize lsqrft
300 349.1 4 6126 2438 1 5.703783 5.855359 8.720297 7.798934
370 351.5 3 9903 2076 1 5.913503 5.86221 9.200593 7.638198
191 217.7 3 5200 1374 0 5.252274 5.383118 8.556414 7.225482
195 231.8 3 4600 1448 1 5.273 5.445875 8.433811 7.277938
373 319.1 4 6095 2514 1 5.921578 5.765504 8.715224 7.82963
466.275 414.5 5 8566 2754 1 6.144775 6.027073 9.055556 7.92081
332.5 367.8 3 9000 2067 1 5.80664 5.907539 9.10498 7.633853
315 300.2 3 6210 1731 1 5.752573 5.704449 8.733916 7.456455
206 236.1 3 6000 1767 0 5.327876 5.464255 8.699514 7.477038
240 256.3 3 2892 1890 0 5.480639 5.546349 7.969704 7.544332
285 314 4 6000 2336 1 5.652489 5.749393 8.699514 7.756196
300 416.5 5 7047 2634 1 5.703783 6.031887 8.860357 7.876259
405 434 3 12237 3375 1 6.003887 6.073044 9.412219 8.12415
212 279.3 3 6460 1899 0 5.356586 5.632287 8.773385 7.549083
265 287.5 3 6519 2312 1 5.57973 5.661223 8.782476 7.745868
227.4 232.9 4 3597 1760 1 5.426711 5.450609 8.187856 7.473069
240 303.8 4 5922 2000 0 5.480639 5.71637 8.68643 7.600903
285 305.6 3 7123 1774 1 5.652489 5.722277 8.871084 7.480992
268 266.7 3 5642 1376 1 5.590987 5.586124 8.637994 7.226936
310 326 4 8602 1835 1 5.736572 5.786897 9.05975 7.5148
266 294.3 3 5494 2048 1 5.583496 5.684599 8.611412 7.624619
270 318.8 3 7800 2124 1 5.598422 5.764564 8.961879 7.661057
225 294.2 3 6003 1768 0 5.416101 5.68426 8.700015 7.477604
150 208 4 5218 1732 0 5.010635 5.337538 8.55987 7.457032
247 239.7 3 9425 1440 1 5.509388 5.479388 9.151121 7.272398
275 294.1 3 6114 1932 0 5.616771 5.68392 8.718336 7.566311
230 267.4 3 6710 1932 0 5.438079 5.588746 8.811355 7.566311
343 359.9 3 8577 2106 1 5.83773 5.885826 9.05684 7.652546
477.5 478.1 7 8400 3529 1 6.168564 6.16982 9.035987 8.16877
350 355.3 4 9773 2051 1 5.857933 5.872962 9.187379 7.626083
230 217.8 4 4806 1573 1 5.438079 5.383577 8.47762 7.36074
335 385 4 15086 2829 0 5.81413 5.953243 9.621523 7.947679
251 224.3 3 5763 1630 1 5.525453 5.412984 8.659213 7.396335
235 251.9 4 6383 1840 1 5.459586 5.529032 8.761394 7.517521
361 354.9 4 9000 2066 1 5.888878 5.871836 9.10498 7.633369
190 212.5 4 3500 1702 0 5.247024 5.358942 8.160519 7.439559
360 452.4 4 10892 2750 1 5.886104 6.114567 9.295784 7.919356
575 518.1 5 15634 3880 1 6.35437 6.250168 9.657204 8.263591
209.001 289.4 4 6400 1854 1 5.342339 5.66781 8.764053 7.525101
225 268.1 2 8880 1421 0 5.416101 5.59136 9.091557 7.259116
246 278.5 3 6314 1662 1 5.505332 5.629418 8.750525 7.415777
713.5 655.4 5 28231 3331 1 6.570182 6.485246 10.24818 8.111028
248 273.3 4 7050 1656 1 5.513429 5.61057 8.860783 7.41216
230 212.1 3 5305 1171 0 5.438079 5.357058 8.576406 7.065613
375 354 5 6637 2293 1 5.926926 5.869297 8.800415 7.737616
265 252.1 3 7834 1764 1 5.57973 5.529826 8.966228 7.475339
313 324 3 1000 2768 0 5.746203 5.780744 6.907755 7.92588
417.5 475.5 4 8112 3733 0 6.034285 6.164367 9.0011 8.224967
253 256.8 3 5850 1536 1 5.53339 5.548297 8.674197 7.336937
315 279.2 4 6660 1638 1 5.752573 5.631928 8.803875 7.401231
264 313.9 3 6637 1972 1 5.575949 5.749074 8.800415 7.586803
255 279.8 2 15267 1478 0 5.541264 5.634075 9.633449 7.298445
210 198.7 3 5146 1408 1 5.347107 5.291796 8.545975 7.249926
180 221.5 3 6017 1812 1 5.192957 5.400423 8.702344 7.502186
250 268.4 3 8410 1722 1 5.521461 5.592478 9.037177 7.451241
250 282.3 4 5625 1780 1 5.521461 5.64297 8.634976 7.484369
209 230.7 4 5600 1674 1 5.342334 5.441118 8.630522 7.422971
258 287 4 6525 1850 1 5.552959 5.659482 8.783396 7.522941
289 298.7 3 6060 1925 1 5.666427 5.69944 8.709465 7.562681
316 314.6 4 5539 2343 0 5.755742 5.751302 8.619569 7.759187
225 291 3 7566 1567 0 5.416101 5.673323 8.931419 7.356918
266 286.4 4 5484 1664 1 5.583496 5.65739 8.60959 7.41698
310 253.6 6 5348 1386 1 5.736572 5.535758 8.584478 7.234177
471.25 482 5 15834 2617 1 6.155389 6.177944 9.669915 7.869784
335 384.3 4 8022 2321 1 5.81413 5.951424 8.989944 7.749753
495 543.6 4 11966 2638 1 6.204558 6.298213 9.389825 7.877776
279.5 336.5 4 8460 1915 1 5.633002 5.818598 9.043104 7.557473
380 515.1 4 15105 2589 1 5.940171 6.244361 9.622781 7.859027
325 437 4 10859 2709 0 5.783825 6.079933 9.292749 7.904335
220 263.4 3 6300 1587 1 5.393628 5.573674 8.748305 7.369601
215 300.4 3 11554 1694 0 5.370638 5.705115 9.354787 7.434848
240 250.7 3 6000 1536 1 5.480639 5.524257 8.699514 7.336937
725 708.6 5 31000 3662 0 6.586172 6.563291 10.34174 8.205765
230 276.3 3 4054 1736 1 5.438079 5.621487 8.307459 7.459339
306 388.6 2 20700 2205 0 5.723585 5.962551 9.937889 7.698483
425 252.5 3 5525 1502 0 6.052089 5.531411 8.617039 7.314553
318 295.2 4 92681 1696 1 5.762052 5.687653 11.43692 7.436028
330 359.5 3 8178 2186 1 5.799093 5.884714 9.009203 7.689829
246 276.2 4 5944 1928 1 5.505332 5.621125 8.690138 7.564239
225 249.8 3 18838 1294 0 5.416101 5.52066 9.843632 7.165493
111 202.4 4 4315 1535 1 4.70953 5.310246 8.369853 7.336286
268.125 254 3 5167 1980 1 5.591453 5.537334 8.550048 7.590852
244 306.8 4 7893 2090 1 5.497168 5.726196 8.973732 7.644919
295 318.3 3 6056 1837 1 5.686975 5.762994 8.708805 7.515889
236 259.4 3 5828 1715 0 5.463832 5.558371 8.670429 7.447168
202.5 258.1 3 6341 1574 0 5.31074 5.553347 8.754792 7.361375
219 232 2 6362 1185 0 5.389072 5.446737 8.758098 7.077498
242 252 4 4950 1774 1 5.488938 5.529429 8.507143 7.480992

Run the following regression: price = β0 + β1*sqrft + β2*bdrms.. Report the estimated equation:

Homework Answers

Answer #1

Answer:- The estimated regression equation is as-

Price= -19.315+ 0.1284 sqrft + 15.198 Bdrms

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1) A monopolist is able to choose whatever price that it wishes and is only constrained...
1) A monopolist is able to choose whatever price that it wishes and is only constrained by its greed. True False ------------------------------------ 2) Table 15-21 Tommy’s Tie Company, a monopolist, has the following cost and revenue information. Assume that Tommy’s is able to engage in perfect price discrimination. COSTS REVENUES Quantity Produced Total Cost Marginal Cost Quantity Demanded Price Total Revenue Marginal Revenue 0 $100 -- 0 $170 -- 1 $140 1 $160 2 $184 2 $150 3 $230 3...
Pat.# Before After 1 195 125 To the left is 2 datasets measured for a sample...
Pat.# Before After 1 195 125 To the left is 2 datasets measured for a sample of 107 patients with the high cholesterol level before and after taking medication. Obtain the following for both sets: 2 208 164 3 254 152 1- the mean, mode and median 4 226 144 5 290 212 2- the variance and standard deviation 6 239 171 7 216 164 3- First, second and third quartiles 8 286 200 9 243 190 10 217 130...
A loan made on March 14 is due September 13 of the following year. Find the...
A loan made on March 14 is due September 13 of the following year. Find the exact time for the loan in a​ non-leap year and a leap year. days. The exact time in a​ non-leap year is ? days The exact time in a leap year is ? days. Data Table Sequential Numbers for Dates of the Year Day of Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 1 1 32 60 91 121...
The data set below contains the average yearly retail gasoline prices​ (cents/gallon) from 1990 to​ 2007,...
The data set below contains the average yearly retail gasoline prices​ (cents/gallon) from 1990 to​ 2007, from a regional sample of gasoline stations. Complete parts a through c. Full data set Year 1990 1991 1992 1993 1994 1995 1996 1997 1998 Price 9090 102102 112112 119119 123123 107107 9999 103103 9797 Year 1999 2000 2001 2002 2003 2004 2005 2006 2007 Price 115115 133133 153153 141141 191191 201201 190190 247247 285285 ​a) Create a histogram of the data and describe...
3. (Lesson 11) Use Minitab Express to conduct a chi-square test to determine if there is...
3. (Lesson 11) Use Minitab Express to conduct a chi-square test to determine if there is a relationship between gender and whether the student said that they would prefer to win an Academy Award, Nobel Prize, or Olympic Medal.  Use the five-step hypothesis testing procedure. [25 points] Step 1: State hypotheses and check assumptions Step 2:Compute the test statistic Step 3: Determine the p-value Step 4: Make a decision (reject or fail to reject the null) Step 5: State a real...
2. (Lesson 11) The “Year” variable represents whether each student identified as a first-year student, sophomore,...
2. (Lesson 11) The “Year” variable represents whether each student identified as a first-year student, sophomore, junior, or senior. Use Minitab Express to conduct a chi-square test to determine if the proportions of students who identify as each year are not all equal. Use the five-step hypothesis testing procedure. [25 points] Step 1: State hypotheses and check assumptions Step 2:Compute the test statistic Step 3: Determine the p-value Step 4: Make a decision (reject or fail to reject the null)...
Use the information in the following table to answer questions 1 through 4: Exports of goods...
Use the information in the following table to answer questions 1 through 4: Exports of goods & services: $1000 Imports of goods & services: $1200 Net change in assets owned abroad: $100 Net change in foreign owned assets at home: $360 Unilateral transfers received: $130 Unilateral transfers paid: $200 Investment income paid to foreigners: $380 Investment income received from foreigners: $400 Balance on the capital account: $0 Statistical Discrepancies: $0 1. The balance on the current account is _________. A)...
Use the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression...
Use the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories. Locate the observed value that is in Industrial Group 12 and has 7 employees. Based on the model and the multiple regression output, what is the corresponding residual of this observation? Write your answer as a number, round to 2 decimal places. SIC Code...
HOUSE PRICE YRSOLD HSQFT LOTSFT YRBUILT PRICE_PER_SQFT NEB 1 $536,000 2009.00 1,500 4,000 1930 $357 WESTERLEIGH...
HOUSE PRICE YRSOLD HSQFT LOTSFT YRBUILT PRICE_PER_SQFT NEB 1 $536,000 2009.00 1,500 4,000 1930 $357 WESTERLEIGH 2 $498,000 2009.00 1,563 6,100 1950 $318 WESTERLEIGH 3 $506,500 2009.00 1,536 4,000 1950 $329 WESTERLEIGH 4 $630,000 2009.00 1,152 4,000 1949 $546 WESTERLEIGH 5 $455,000 2009.00 1,214 2,775 1925 $374 WESTERLEIGH 6 $265,000 2009.00 1,627 1,800 1985 $190 WESTERLEIGH 7 $347,500 2009.00 1,100 4,500 1950 $315 WESTERLEIGH 8 $320,000 2009.00 1,104 3,000 1925 $289 WESTERLEIGH 9 $535,000 2009.00 2,400 3,879 2000 $222 WESTERLEIGH...
Researchers in a 2015 study by Flannery et al. sought to estimate the effectiveness of the...
Researchers in a 2015 study by Flannery et al. sought to estimate the effectiveness of the seasonal influenza vaccine in preventing acute respiratory infection (ARI). A total of 507 subjects from Texas who showed symptoms of ARI were recruited for this study. The data provided show the result of each subject's test for influenza. Click to download the data in your preferred format.    CrunchIt!    CSV    Excel    JMP    Mac-Text    Minitab    PC-Text    R   ...