see pictures
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
6) see pictures
Transcribed Image Text:House Age Square Feet
Market Value
1733
35
86949
33
1862
109297
34
1780
94676
35
1851
91016
31
1835
102458
35
1959
109128
34
1803
90115
34
1768
98369
34
1827
88527
34
1632
88464
34
1813
96892
33
1637
92333
32
1668
88590
30
2440
113221
31
2385
118361
31
1737
89138
32
2177
120658
34
1657
96931
33
1761
82665
34
1667
89161
28
1519
87145
27
1473
81740
1665
80498
86340
28
28
1661
29
1555
84449
29
1430
80751
28
1527
90457
28
1701
97820
29
1553
80218
27
1471
85902
29
1494
92495
28
1563
88779
28
1537
74476
28
1578
80778
28
1670
90808
27
1542
84152
27
1819
90897
28
1444
83112
26
1533
99428
28
1584
86362
28
1739
94635
28
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125276
Transcribed Image Text:Using the accompanying Home Market Value data, develop a multiple linear regression model for estimating the market value as a function of both the age and size of the house. State the model and explain R, Significance F, and p-values, with an
alpha of 0.05.
Click the icon to view the Home Market Value data.
State the hypotheses for the multiple linear regression test.
Ho: B1 = B2 = • •: = Bx = 0
= .. .
H1: B1 =0
Expert Solution
Step 1
Let
Here the dependent variable y is the market value .
The independent variable x1 represents the house age and the independent variable x2 represents the square feet.
is the intercept.
is the coefficient of the variable house age and 
is the coefficient of the variable square feet.
Fit the multiple linear regression model by using excel.
Step 1:
Enter the data into the excel sheet of A1:C43 as displayed in the screen shot below.
Step2:
Choose the data option from menubar and select data analysis option then the pop-up menu is displayed and choose regression as follows.
Step by step
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