Linear R R Square .537 .288 .217 The independent variable is MONTH. Regression Residual Model Summary Adjusted R Square MONTH (Constant) Sum of Squares 1548.044 3822.206 Total 5370.250 The independent variable is MONTH. ANOVA df 3.290 136.864 1 10 11 Unstandardized Coefficients B Std. Error Std. Error of the Estimate 19.550 Coefficients 1.635 12.032 Mean Square 1548.044 382.221 Standardized Coefficients Beta .537 F 4.050 t 2.012 11.375 Sig. .072 Sig. .072 .000

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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Related questions
Question
Explain to me all these outputs
200
180
160
140
120
0
2
4
-
6
MONTH
YEAR91
8
10
12
Observed
Linear
Logarithmic
• Inverse
** Quadratic
Cubic
Power
Exponential
Transcribed Image Text:200 180 160 140 120 0 2 4 - 6 MONTH YEAR91 8 10 12 Observed Linear Logarithmic • Inverse ** Quadratic Cubic Power Exponential
Linear
R R Square
.537
.288
.217
The independent variable is MONTH.
Regression
Residual
Model Summary
Adjusted R
Square
MONTH
(Constant)
Sum of
Squares
1548.044
3822.206
Total
5370.250
The independent variable is MONTH.
ANOVA
df
3.290
136.864
1
10
11
Unstandardized Coefficients
B
Std. Error
Std. Error of
the Estimate
19.550
Coefficients
1.635
12.032
Mean Square
1548.044
382.221
Standardized
Coefficients
Beta
.537
F
4.050
t
2.012
11.375
Sig.
.072
Sig.
.072
.000
Transcribed Image Text:Linear R R Square .537 .288 .217 The independent variable is MONTH. Regression Residual Model Summary Adjusted R Square MONTH (Constant) Sum of Squares 1548.044 3822.206 Total 5370.250 The independent variable is MONTH. ANOVA df 3.290 136.864 1 10 11 Unstandardized Coefficients B Std. Error Std. Error of the Estimate 19.550 Coefficients 1.635 12.032 Mean Square 1548.044 382.221 Standardized Coefficients Beta .537 F 4.050 t 2.012 11.375 Sig. .072 Sig. .072 .000
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