Calculate b0 value and Mean Absolute Error! H21fxNX2*X2ABEHKLMQRSUScore(Y) X1*Y1 0.5555561 AgeNumberofCardsAge(X1)Income(X2) NumberofCards(X3)X2*YX3*YX1*X1X3*X3v'IncomeScore235353900.5555560.1750.750.1750.75 0.308642 0.0306250.56250.5 0.222222 0.077601 0.055556 0.111111 0.1219450.25 0.333333 0.333333 0.333333 0.083333322502200.3492060.250.06250.254632001301110.06255591701100.9365080.850.25 0.111111 0.104056 0.094444 0.027778 0.8770470.72250.0625625404800.3968250.21 0.888889 0.352734 0.177778 0.8888890.157470.04141992460.6507940.4950.5 0.511111 0.3326280.253 0.255556 0.423532 0.2450250.2580.6481480.4950.541666667 0.511111 1.755908 1.089111 2.116667 2.888637 2.100652.18759101112Y = bo + bị X1314b1=-0.231746-0.629640616150.3680608-n XY + Eo XiYib1 =-n XX + ΣL Xi iLi=o16 Y = b0 + b1X1+b2X2+b3X317b2=-0.42888891.02134365218-0.4199261bo = Y – bị X1920b3=0.455555561.066666667210.42708333Mean Absolute Error = ( 1/ n) * E-o [Ai – Fi|22i3D023242526272829303132

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Description: Calculate b0 value and Mean Absolute Error! H21fxNX2*X2ABEHKLMQRSUScore(Y) X1*Y1 0.5555561 AgeNumberofCardsAge(X1)Income(X2) NumberofCards(X3)X2*YX3*YX1*X1X3*X3v'IncomeScore235353900.5555560.1750.750.1750.75 0.308642 0.0306250.56250.5 0.222222 0.0776

Multiple regression is a statistical technique that can be used to analyze the relationship between…

Answered: Calculate b0 value and Mean Absolute…

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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Calculate b0 value and Mean Absolute Error!

H21
fx
N
X2*X2
A
B
E
H
K
L
M
Q
R
S
U
Score(Y) X1*Y
1 0.555556
1 Age
NumberofCards
Age(X1)
Income(X2) NumberofCards(X3)
X2*Y
X3*Y
X1*X1
X3*X3
v'
Income
Score
2
35
35
3
90
0.555556
0.175
0.75
0.175
0.75 0.308642 0.030625
0.5625
0.5 0.222222 0.077601 0.055556 0.111111 0.121945
0.25 0.333333 0.333333 0.333333 0.083333
3
22
50
2
20
0.349206
0.25
0.0625
0.25
4
63
200
1
30
1
1
1
0.0625
5
59
170
1
10
0.936508
0.85
0.25 0.111111 0.104056 0.094444 0.027778 0.877047
0.7225
0.0625
6
25
40
4
80
0.396825
0.2
1 0.888889 0.352734 0.177778 0.888889
0.15747
0.04
1
41
99
2
46
0.650794
0.495
0.5 0.511111 0.332628
0.253 0.255556 0.423532 0.245025
0.25
8
0.648148
0.495
0.541666667 0.511111 1.755908 1.089111 2.116667 2.888637 2.10065
2.1875
9
10
11
12
Y = bo + bị X
13
14
b1=
-0.231746
-0.629640616
15
0.3680608
-n XY + Eo XiYi
b1 =
-n XX + ΣL Xi i
Li=o
16 Y = b0 + b1X1+b2X2+b3X3
17
b2=
-0.4288889
1.021343652
18
-0.4199261
bo = Y – bị X
19
20
b3=
0.45555556
1.066666667
21
0.42708333
Mean Absolute Error = ( 1/ n) * E-o [Ai – Fi|
22
i3D0
23
24
25
26
27
28
29
30
31
32

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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