A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate, and population.What is the regression equation for the model that predicts the list price of all homes using population as an explanatory variable?What is the interpretation of the slope?What is the interpretation of the intercept? Click this link to download the spreadsheet for use in this activity. Use the Regression function in the Data Analysis ToolPak.Specify the data range for the response variable in "Input Y Range" and the data range for the explanatory variable in "Input XRange".469590.3283820.qx3zqy7Jump to level 1A researcher is analyzing the relationship between various variables in housing data for 32 cities: median listprices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate,and population.What is the regression equation for the model that predicts the list price of all homes using population as anexplanatory variable?ÝEx: 1.234What is the interpretation of the slope?PickX + (Ex: 1.234in the list price of all homes as population increases.What is the interpretation of the intercept?Pick CityAtlanta, GAMinneapolis,Cincinatti, OlSan Diego, CReno, NVPortland, ORSioux Falls, SKansas City,Chicago, ILSavannah, GABloomington,Seattle, WAConcord, NHAugusta, MEDes Moines,Lincoln, NBNampa, IDDraper, UTHouston, TXMemphis, TNWaco, TXJackson, MSTampa, FLAtlantic City,Bozeman, M1Las Vegas, NSan FranciscoSingle family Condo or co-All homes403,000298,000331,000 291,000208,000829,000450,000518,000257,000184,000292,000210,000261,000Philadelphia,Charlotte, NCAnn Arbor, MCharleston, SSan Antonio,211,000536,000247,000411,000175,000219,000357,00068,438330,000134,000535,000333,0001,640,000209,000311,000440,000407,000215,000 165,000317,000323,000191,000725,000441,000112,000343,000183,0001,280,000335,000234,000282,000303,000**~~~~~514,000248,000187,000297,000206,000188,000248,000890,000 573,000 837,000297,000 178,000284,000172,000130,000176,000162,000 186,000165,000228,000186,000225,000298,000 258,000305,000613,000418,000599,000246,000 177,000 209,000122,000170,000112,000170,000127,000164,000121,00048,579245,000289,000123,000499,000318,0001,490,000216,000280,000203,000412,000364,000213,000Household in Unemployme Population55,27958,99338,54575,45654,91665,74059,01752,40555,19841,09334,43585,56262,96740,34052,25155,22444,691115,61851,14039,10837,73537,56350,90927,78651,89654,694104,55243,74460,88663,95664,59946,3178.57.510.18.86.98.93.47.513.88.84.76.65.25.46.43.26.44.89.812.17.0498044425403302605142600025099865311518188349191827060001458628498174495543412186812168532874019625248319232600065061813818316442239289037804485326446448883059.36.915.83.914.18.411.715840008.18724985.01218904.81337628.0 1487000

Given data: All homes Population 3,17,000 498044 3,23,000 425403 1,91,000 302605 7,25,000…

Answered: Click this link to download the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Related questions

Question

A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate, and population.

What is the regression equation for the model that predicts the list price of all homes using population as an explanatory variable?

What is the interpretation of the slope?

What is the interpretation of the intercept?

Click this link to download the spreadsheet for use in this activity. Use the Regression function in the Data Analysis ToolPak.
Specify the data range for the response variable in "Input Y Range" and the data range for the explanatory variable in "Input X
Range".
469590.3283820.qx3zqy7
Jump to level 1
A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list
prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate,
and population.
What is the regression equation for the model that predicts the list price of all homes using population as an
explanatory variable?
Ý
Ex: 1.234
What is the interpretation of the slope?
Pick
X + (Ex: 1.234
in the list price of all homes as population increases.
What is the interpretation of the intercept?
Pick

City
Atlanta, GA
Minneapolis,
Cincinatti, Ol
San Diego, C
Reno, NV
Portland, OR
Sioux Falls, S
Kansas City,
Chicago, IL
Savannah, GA
Bloomington,
Seattle, WA
Concord, NH
Augusta, ME
Des Moines,
Lincoln, NB
Nampa, ID
Draper, UT
Houston, TX
Memphis, TN
Waco, TX
Jackson, MS
Tampa, FL
Atlantic City,
Bozeman, M1
Las Vegas, N
San Francisco
Single family Condo or co-All homes
403,000
298,000
331,000 291,000
208,000
829,000
450,000
518,000
257,000
184,000
292,000
210,000
261,000
Philadelphia,
Charlotte, NC
Ann Arbor, M
Charleston, S
San Antonio,
211,000
536,000
247,000
411,000
175,000
219,000
357,000
68,438
330,000
134,000
535,000
333,000
1,640,000
209,000
311,000
440,000
407,000
215,000 165,000
317,000
323,000
191,000
725,000
441,000
112,000
343,000
183,000
1,280,000
335,000
234,000
282,000
303,000
**~~~~~
514,000
248,000
187,000
297,000
206,000
188,000
248,000
890,000 573,000 837,000
297,000 178,000
284,000
172,000
130,000
176,000
162,000 186,000
165,000
228,000
186,000
225,000
298,000 258,000
305,000
613,000
418,000
599,000
246,000 177,000 209,000
122,000
170,000
112,000
170,000
127,000
164,000
121,000
48,579
245,000
289,000
123,000
499,000
318,000
1,490,000
216,000
280,000
203,000
412,000
364,000
213,000
Household in Unemployme Population
55,279
58,993
38,545
75,456
54,916
65,740
59,017
52,405
55,198
41,093
34,435
85,562
62,967
40,340
52,251
55,224
44,691
115,618
51,140
39,108
37,735
37,563
50,909
27,786
51,896
54,694
104,552
43,744
60,886
63,956
64,599
46,317
8.5
7.5
10.1
8.8
6.9
8.9
3.4
7.5
13.8
8.8
4.7
6.6
5.2
5.4
6.4
3.2
6.4
4.8
9.8
12.1
7.0
498044
425403
302605
1426000
250998
653115
181883
491918
2706000
145862
84981
744955
43412
18681
216853
287401
96252
48319
2326000
650618
138183
164422
392890
37804
48532
644644
888305
9.3
6.9
15.8
3.9
14.1
8.4
11.7
1584000
8.1
872498
5.0
121890
4.8
133762
8.0 1487000

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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