A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file “quiz_dataset1” contains the data. Build a parsimonious linear regression model. Use the model to predict the price of a 2100 ft2 colonial style home with two bedrooms and two bathrooms. Select one: a. 570268.3 b. 554347.1 c. 535347.1 d. None of the above
A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file “quiz_dataset1” contains the data. Build a parsimonious linear regression model. Use the model to predict the price of a 2100 ft2 colonial style home with two bedrooms and two bathrooms. Select one: a. 570268.3 b. 554347.1 c. 535347.1 d. None of the above
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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Question
A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file “quiz_dataset1” contains the data.
Build a parsimonious linear regression model. Use the model to predict the price of a 2100 ft2 colonial style home with two bedrooms and two bathrooms.
Select one:
a. 570268.3
b. 554347.1
c. 535347.1
d. None of the above
![Price
840000
822000
713000
689000
685000
645000
625000
620000
587500
585000
583000
569000
546000
540000
537000
516000
511000
510000
495000
463000
457000
451000
435000
431700
414000
401500
399000
380000
380000
375900
372000
367500
356500
330000
330000
307500
Sqft
2768
2500
2400
2200
2716
2524
2732
2436
2100
1947
2224
3262
1792
1488
2907
1951
1752
1727
1692
1714
1650
1685
1500
1896
1182
1152
1383
1344
1272
2275
1005
1272
1431
1362
1465
850
Beds
4
4
3
3
3
3
4
4
3
3
3
4
3
3
3
4
3
3
3
3
3
3
3
2
2
3
4
4
3
5
2
3
2
3
3
1
Baths
3.5
2.5
3
2.5
3.5
in w
5i
2
2.5
3.5
1.5
1.5
2.5
2
2
1.5
2.5
2
1.5
2
2
2
2
2
1.5
1.5
1.5
1
1
2
1
1
1
1
2
1
1
1
Col
1
1
1
1
1
1
0
1
1
1
1
0
0
0
0
1
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
0](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F11e6e760-4b98-4c91-ab5e-657b603ef5fc%2F83c6fa83-d63e-47b7-9fde-1b198a1bba6d%2Fij9rwfw_processed.png&w=3840&q=75)
Transcribed Image Text:Price
840000
822000
713000
689000
685000
645000
625000
620000
587500
585000
583000
569000
546000
540000
537000
516000
511000
510000
495000
463000
457000
451000
435000
431700
414000
401500
399000
380000
380000
375900
372000
367500
356500
330000
330000
307500
Sqft
2768
2500
2400
2200
2716
2524
2732
2436
2100
1947
2224
3262
1792
1488
2907
1951
1752
1727
1692
1714
1650
1685
1500
1896
1182
1152
1383
1344
1272
2275
1005
1272
1431
1362
1465
850
Beds
4
4
3
3
3
3
4
4
3
3
3
4
3
3
3
4
3
3
3
3
3
3
3
2
2
3
4
4
3
5
2
3
2
3
3
1
Baths
3.5
2.5
3
2.5
3.5
in w
5i
2
2.5
3.5
1.5
1.5
2.5
2
2
1.5
2.5
2
1.5
2
2
2
2
2
1.5
1.5
1.5
1
1
2
1
1
1
1
2
1
1
1
Col
1
1
1
1
1
1
0
1
1
1
1
0
0
0
0
1
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
0
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