From the below data perform a multiple regression. What is the R ? How much of this R can be attributed to chance? Total Number of Age of Warehouse (Years) Market Price (thousands of dollars) Square Feet y X1 X2 63.0 1,605 35 65.1 2,489 45 69.9 1,553 20 76.8 2,404 32 73.9 1,884 25 77.9 1,558 14 74.9 1,748 8 78.0 3,105 10 79.0 1,682 28 83.4 2,470 30 *(Round your answers to 4 decimal places, e.g. 1.7578.) **(Round your answers to 3 decimal places, e.g. 1.757.) The regression equation for given model is: ý = *+ * X1 * X2 R2 = ** and expected value of R2 Thus, v o find R close to the true value of ** purely by chance. can expect Appendix A Statistical Tables can't expect Hint
From the below data perform a multiple regression. What is the R ? How much of this R can be attributed to chance? Total Number of Age of Warehouse (Years) Market Price (thousands of dollars) Square Feet y X1 X2 63.0 1,605 35 65.1 2,489 45 69.9 1,553 20 76.8 2,404 32 73.9 1,884 25 77.9 1,558 14 74.9 1,748 8 78.0 3,105 10 79.0 1,682 28 83.4 2,470 30 *(Round your answers to 4 decimal places, e.g. 1.7578.) **(Round your answers to 3 decimal places, e.g. 1.757.) The regression equation for given model is: ý = *+ * X1 * X2 R2 = ** and expected value of R2 Thus, v o find R close to the true value of ** purely by chance. can expect Appendix A Statistical Tables can't expect Hint
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
q17
![From the below data perform a multiple regression. What is the R ? How much of this R
can be attributed to chance?
Age of Warehouse
(Years)
Market Price
Total Number of
(thousands of dollars)
Square Feet
y
X1
X2
63.0
1,605
35
65.1
2,489
45
69.9
1,553
20
76.8
2,404
32
73.9
1,884
25
77.9
1,558
14
74.9
1,748
8
78.0
3,105
10
79.0
1,682
28
83.4
2,470
30
*(Round your answers to 4 decimal places, e.g. 1.7578.)
**(Round your answers to 3 decimal places, e.g. 1.757.)
The regression equation for given model is: ŷ =
*+
* X1
* X2
R2 =
** and expected value of R2
Thus, v
o find R close to the true value of
purely by chance.
**
can expect
Appendix A Statistical Tables
can't expect
Hint](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdee32018-85d1-483d-8de1-562067fcba2d%2F255d4f76-7480-4782-ba4b-9f7049530511%2Frkmuqb_processed.png&w=3840&q=75)
Transcribed Image Text:From the below data perform a multiple regression. What is the R ? How much of this R
can be attributed to chance?
Age of Warehouse
(Years)
Market Price
Total Number of
(thousands of dollars)
Square Feet
y
X1
X2
63.0
1,605
35
65.1
2,489
45
69.9
1,553
20
76.8
2,404
32
73.9
1,884
25
77.9
1,558
14
74.9
1,748
8
78.0
3,105
10
79.0
1,682
28
83.4
2,470
30
*(Round your answers to 4 decimal places, e.g. 1.7578.)
**(Round your answers to 3 decimal places, e.g. 1.757.)
The regression equation for given model is: ŷ =
*+
* X1
* X2
R2 =
** and expected value of R2
Thus, v
o find R close to the true value of
purely by chance.
**
can expect
Appendix A Statistical Tables
can't expect
Hint
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