a. interpret the estimated slope in the context of the data (attached)b. resport the value of R2 . Interpret thsi value in the context of the data. (attached). Bivariate Fit of kWh By Tavg80kWh706050403020106065SourceModelErrorC. Total70Linear FitLinear FitkWh = -97.92389 +2.0010054*TavgSummary of FitRSquareRSquare AdjRoot Mean Square ErrorMean of ResponseObservations (or Sum Wgts)Analysis of VarianceTavg0.710050.7036078.38776347.021284775Sum ofDFSquares Mean Square17753.0237753.0245 3165.95570.3546 10918.979Parameter Estimates80F Ratio110.1993Prob > F<.0001*TermEstimate Std Error t Ratio Prob>|t|Intercept -97.92389 13.86158 -7.06 <.0001*Tavg 2.0010054 0.190616 10.50 .0001*85

We have given the simple linear regression equation is: kWh=-97.92389+2.0010054×Tavg In general, we…

Answered: a. interpret the estimated slope in the…

a. interpret the estimated slope in the context of the data (attached) b. resport the value of R2 . Interpret thsi value in the context of the data. (attached).

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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Question

a. interpret the estimated slope in the context of the data (attached)

b. resport the value of R². Interpret thsi value in the context of the data. (attached).

Bivariate Fit of kWh By Tavg
80
kWh
70
60
50
40
30
20
10
60
65
Source
Model
Error
C. Total
70
Linear Fit
Linear Fit
kWh = -97.92389 +2.0010054*Tavg
Summary of Fit
RSquare
RSquare Adj
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts)
Analysis of Variance
Tavg
0.71005
0.703607
8.387763
47.02128
47
75
Sum of
DF
Squares Mean Square
1
7753.023
7753.02
45 3165.955
70.35
46 10918.979
Parameter Estimates
80
F Ratio
110.1993
Prob > F
<.0001*
Term
Estimate Std Error t Ratio Prob>|t|
Intercept -97.92389 13.86158 -7.06 <.0001*
Tavg 2.0010054 0.190616 10.50 .0001*
85

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