Question
Q2. The following data consists of the length of service call in minutes and the number of components repaired. i) Draw a scatter diagram and
Q2. The following data consists of the length of service call in minutes and the number of components\ repaired.\ i) Draw a scatter diagram and comment.\ ii) Estimate the simple linear model Minutes
=\\\\alpha +\\\\beta
. Unites
+e
\ iii) Plot the standardized residuals against units and comment.\ iv) Calculate multiple correlation coefficient
(R^(2))
and comment.\ v) Calculate
hat(Y)
and show that
\\\\sum_(i=1)^n (hat(Y)_(i)-Y_(i))=0
, also comment.\ vi) Find
hat(\\\\sigma )^(2),Var(hat(\\\\alpha )),Var(hat(\\\\beta )),Var(hat(\\\\sigma )^(2))
, and
Var(hat(P)_(4))
.\ vii) Test the hypotheses,
H_(0):\\\\alpha =0,20,30,40;H_(0):\\\\beta =0,5.0,10.0,15.0;H_(0):\\\\sigma ^(2)=0;H_(0):Y_(4)=60
and\
H_(0):\\\\mu _(4)=60
at
5%
and
2.5%
level of significance. Also find the confidence interval in each case.\ viii) Also estimate the simple parabola model Minutes
=\\\\beta _(0)+\\\\beta _(1)
. Unites
+\\\\beta _(2)
.
( Unites )^(2)+e
\ ix) Calculate multiple correlation coefficient
(R^(2))
for viii) and comment with iv).\ x) Find
hat(\\\\sigma )^(2),Var(hat(\\\\beta )_(0)),Var(hat(\\\\beta )_(1)),Var(hat(\\\\beta )_(2)),Var(hat(\\\\sigma )^(2))
, and
Var(hat(\\\\beta )_(4))
for viii).\ xi) Test the hypotheses,
H_(0):\\\\beta _(0)=0,20,30,40;H_(0):\\\\beta _(1)=0,5.0,10.0,15.0;H_(0):\\\\sigma ^(2)=0;H_(0):Y_(4)=60
at\
5%
and
2.5%
level of significance Also find the confidence interval in each case.
Q2. The following data consists of the length of service call in minutes and the number of components renaired ] i) Draw a scatter diagram and comment. ii) Estimate the simple linear model Minutes =+. Unites +e iii) Plot the standardized residuals against units and comment. iv) Calculate multiple correlation coefficient (R2) and comment. v) Calculate P^ and show that i=1n(Y^iYi)=0, also comment. vi) Find ^2,Var(^),Var(^),Var(^2), and Var(Y^4). vii) Test the hypotheses, H0:=0,20,30,40;H0:=0,5.0,10.0,15.0;H0:2=0;H0:Y4=60 and H0:4=60 at 5% and 2.5% level of significance. Also find the confidence interval in each case. viii) Also estimate the simple parabola model Minutes =0+1. Unites +2. (Unites)2+e ix) Calculate multiple correlation coefficient (R2) for viii) and comment with iv). x) Find ^2,Var(^0),Var(^1),Var(^2),Var(^2), and Var(Y^4) for viii). xi) Test the hypotheses, H0:0=0,20,30,40;H0:1=0,5.0,10.0,15.0;H0:2=0;H0:Y4=60 at 5% and 2.5% level of significance Also find the confidence interval in each case
Q2. The following data consists of the length of service call in minutes and the number of components\ repaired.\ i) Draw a scatter diagram and comment.\ ii) Estimate the simple linear model Minutes
=\\\\alpha +\\\\beta
. Unites
+e
\ iii) Plot the standardized residuals against units and comment.\ iv) Calculate multiple correlation coefficient
(R^(2))
and comment.\ v) Calculate
hat(Y)
and show that
\\\\sum_(i=1)^n (hat(Y)_(i)-Y_(i))=0
, also comment.\ vi) Find
hat(\\\\sigma )^(2),Var(hat(\\\\alpha )),Var(hat(\\\\beta )),Var(hat(\\\\sigma )^(2))
, and
Var(hat(P)_(4))
.\ vii) Test the hypotheses,
H_(0):\\\\alpha =0,20,30,40;H_(0):\\\\beta =0,5.0,10.0,15.0;H_(0):\\\\sigma ^(2)=0;H_(0):Y_(4)=60
and\
H_(0):\\\\mu _(4)=60
at
5%
and
2.5%
level of significance. Also find the confidence interval in each case.\ viii) Also estimate the simple parabola model Minutes
=\\\\beta _(0)+\\\\beta _(1)
. Unites
+\\\\beta _(2)
.
( Unites )^(2)+e
\ ix) Calculate multiple correlation coefficient
(R^(2))
for viii) and comment with iv).\ x) Find
hat(\\\\sigma )^(2),Var(hat(\\\\beta )_(0)),Var(hat(\\\\beta )_(1)),Var(hat(\\\\beta )_(2)),Var(hat(\\\\sigma )^(2))
, and
Var(hat(\\\\beta )_(4))
for viii).\ xi) Test the hypotheses,
H_(0):\\\\beta _(0)=0,20,30,40;H_(0):\\\\beta _(1)=0,5.0,10.0,15.0;H_(0):\\\\sigma ^(2)=0;H_(0):Y_(4)=60
at\
5%
and
2.5%
level of significance Also find the confidence interval in each case.
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