Exhibit 1 Below is a partial Excel output based on a sample of 25 observations. Coefficients 145.321 Standard Eror Intercept 48.682 x1 25.625 9.150 x2 -5.720 3.575 x3 0.823 0.183 efer to Exhibit 1. The estimated regression equation is: elect one: a. a y = Bo + P1×1* P2x2 + P3x3 + e O b. b. EG) = Po + P1×1 + P82+ P3x3 e9 = 145.321 - 25.625x1 - 5.720x2 + 0.823x3 O d. 48.682 + 9.15x1 + 3.575x2 + 0.183x3
Exhibit 1 Below is a partial Excel output based on a sample of 25 observations. Coefficients 145.321 Standard Eror Intercept 48.682 x1 25.625 9.150 x2 -5.720 3.575 x3 0.823 0.183 efer to Exhibit 1. The estimated regression equation is: elect one: a. a y = Bo + P1×1* P2x2 + P3x3 + e O b. b. EG) = Po + P1×1 + P82+ P3x3 e9 = 145.321 - 25.625x1 - 5.720x2 + 0.823x3 O d. 48.682 + 9.15x1 + 3.575x2 + 0.183x3
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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Transcribed Image Text:Exhibit 1
Below is a partial Excel output based on a sample of 25 observations.
Coefficients
145.321
Standard Error
48.682
Intercept
25.625
9.150
x1
-5.720
3.575
x2
0.823
0.183
x3
Refer to Exhibit 1. The estimated regression equation is:
Select one:
a.
a. y = B0 + B1x1+ P2x2 + B3x3 + e
O b.
b. E(v) = B0 + B1×1+ B2*2 + P3×3
c.
9 = 145.321 - 25.625x1 - 5.720x2 +
0.823x3
d.
d. i - 48.682 +9.15x1
+ 3.575x2 + 0.183x3
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