A 1 Page 144 040 1234ST 8 a 4 Selling 5 Price 84000 79000 91500 9 120000 10 127500 11 132500 12 145000 13 164000 14 155000 15 168000 16 172500 17 174000 18 175000 19 177500 184000 195500 195000 2222 6 7 122 C B Problem #4-22 Bedrooms 2 3444 W WAWA Www www~~ 2 3 3 3 3 3 3 4 3 4 3 3 D Age (Years) wono-ww-6888 30 25 30 40 30 19 10 10 E UL. F G H SUM Regr Multi R So Adju Stan Obs ANO Reg Resi Tota Inter Bed (Yea
A 1 Page 144 040 1234ST 8 a 4 Selling 5 Price 84000 79000 91500 9 120000 10 127500 11 132500 12 145000 13 164000 14 155000 15 168000 16 172500 17 174000 18 175000 19 177500 184000 195500 195000 2222 6 7 122 C B Problem #4-22 Bedrooms 2 3444 W WAWA Www www~~ 2 3 3 3 3 3 3 4 3 4 3 3 D Age (Years) wono-ww-6888 30 25 30 40 30 19 10 10 E UL. F G H SUM Regr Multi R So Adju Stan Obs ANO Reg Resi Tota Inter Bed (Yea
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
Identify the Independent and Dependent Variable
Transcribed Image Text:A
1 Page 144
2
3
4 Selling
5 Price
84000
79000
91500
6
7
8
9
10
11
12
13
14
155000
168000
15
16 172500
17
174000
175000
18
19
177500
20
184000
21
195500
22
195000
23
120000
127500
132500
145000
164000
B
C
Problem #4-22
Bedrooms
2
2
3
3
3
3
3
3
4
3433 4343
D
Age
(Years)
30
25
30
40
18
30
19
7
10
T33TONOM
1
1
0
2
10
E
F
G
H
SUMMARY OUTPUT
J
Regression Statistics
Multiple R 0.889328
R Square 0.790904
Adjusted F 0.761034
Standard E 18457.67
Observatic
17
ANOVA
Regression
Residual
Total
df
K
L
M
N
SS
MS
F
gnificance F
2 1.8E+10 9.02E+09 26.47752 1.75E-05
14 4.77E+09 3.41E+08
16 2.28E+10
O
P
O
Coefficientsandard Err t Stat P-value Lower 95% Jpper 95%ower 95.0%pper 95.0%
Intercept 110098.2 30511.12 3.608463 0.00285 44658.39 175538.1 44658.39 175538.1
Bedrooms 21205.58 8725.374 2.430334 0.029124 2491.511 39919.64 2491.511 39919.64
(Years) -1963.64 401.2537 -4.89377 0.000237 -2824.25 -1103.04 -2824.25 -1103.04
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