Exercise 3.1   Quality of fish after ice storage. Fish Y = Quality (10 point scale: 10 = fresh) , X = Days (a)   Fit the LS line. Show the JMP output result (b)   Interpret the slope value. (c)   Is a linear model appropriate ? Explain.

MATLAB: An Introduction with Applications
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Exercise 3.1   Quality of fish after ice storage.
Fish Y = Quality (10 point scale: 10 = fresh) , X = Days

(a)   Fit the LS line. Show the JMP output result

(b)   Interpret the slope value.

(c)   Is a linear model appropriate ? Explain.

Bivariate Fit of y By x
8.5
8
y
7.5
7
6.5
10
Xx
-Linear Fit
Linear Fit
y = 8.46-0.1416667*x
Summary of Fit
0.968758
RSquare
RSquare Adj
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts)
0.96485
0.120675
7.61
10
Analysis of Variance
Sum of
Squares Mean Square
1 3.6125000
8 0.1165000
9 3.7290000
Source
DF
F Ratio
Model
3.61250 248.0687
Error
0.01456 Prob > F
C. Total
<.0001*
Parameter Estimates
Term
Estimate Std Error t Ratio Prob> |t|
Intercept
8.46 0.066097 127.99
<.0001*
X
-0.141667 0.008995
-15.75
<.0001*
Transcribed Image Text:Bivariate Fit of y By x 8.5 8 y 7.5 7 6.5 10 Xx -Linear Fit Linear Fit y = 8.46-0.1416667*x Summary of Fit 0.968758 RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.96485 0.120675 7.61 10 Analysis of Variance Sum of Squares Mean Square 1 3.6125000 8 0.1165000 9 3.7290000 Source DF F Ratio Model 3.61250 248.0687 Error 0.01456 Prob > F C. Total <.0001* Parameter Estimates Term Estimate Std Error t Ratio Prob> |t| Intercept 8.46 0.066097 127.99 <.0001* X -0.141667 0.008995 -15.75 <.0001*
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