Glejsers test, Advanced Statistics

Assignment Help:

The Null Hypothesis - H0:  There is no heteroscedasticity i.e. β1 = 0

The Alternative Hypothesis - H1:  There is heteroscedasticity i.e. β1 0

Reject H0 if |t | > t = 1.96153

MTB > let c44 = abs (c11)

MTB > let c45 = sqrt (c7)

MTB > let c46 = 1/c7

C44 = absolutness

C45 = sqrttoexp

C46 = 1/totexp

C11 = RESI1

C7 = totexp                             

Regression Analysis: absolutness versus sqrttotexp, 1/totexp, sqtotexp

The regression equation is

absolutness = - 0.0432 + 0.00697 sqrttotexp + 3.96 ltotexp - 0.000000 sqtotexp

 

Predictor          Coef     SE Coef      T      P

Constant       -0.04319     0.06231  -0.69  0.488

sqrttotexp     0.006965    0.005250   1.33  0.185

1/totexp          3.962       1.403   2.82  0.005

sqtotexp    -0.00000003  0.00000045  -0.07  0.945

S = 0.0553218   R-Sq = 1.8%   R-Sq(adj) = 1.6%

Analysis of Variance

Source                DF        SS          MS             F      P

Regression         3    0.083167   0.027722  9.06  0.000

Residual Error  1515  4.636654  0.003060

Total                1518  4.719821

 

Source          DF    Seq SS

sqrttotexp    1  0.011248

l/totexp        1  0.071905

sqtotexp      1  0.000015

Since the ltoexp 2.82 > 1.96153 (CV), there is evidence to suggest that H0 would be rejected indicating that there is heteroscedasticity.


Related Discussions:- Glejsers test

Link functions, Link functions: The link function relates the linear p...

Link functions: The link function relates the linear predictor ηi to the expected value of the data. In classical linear models the mean and the linear predictor are identical

Poisson regression, Poisson regression In case of Poisson regression w...

Poisson regression In case of Poisson regression we use ηi = g(µi) = log(µi) and a variance V ar(Yi) = φµi. The case φ = 1 corresponds to standard Poisson model. Poisson regre

Queuing theory, 1) Let N1(t) and N2(t) be independent Poisson processes wit...

1) Let N1(t) and N2(t) be independent Poisson processes with rates, ?1 and ?2, respectively. Let N (t) = N1(t) + N2(t). a) What is the distribution of the time till the next epoch

Completeness, Completeness : A term applied to a statistic t when there is ...

Completeness : A term applied to a statistic t when there is only one function of that the statistic which can have the given expected value. If, for instance, the one function of

Doob meyer decomposition, A theorem which shows that any counting process m...

A theorem which shows that any counting process may be uniquely decomposed as the sum of a martingale and a predictable, right-continous process called the compensator, assuming ce

Normality - reasons for screening data, Normality - Reasons for Screening...

Normality - Reasons for Screening Data Prior to analyzing multivariate normality, one should consider univariate normality Histogram, Normal Q-Qplot (values on x axis

Explanatory analysis, This term is sometimes used for the analysis of data ...

This term is sometimes used for the analysis of data from the clinical trial in which treatments A and B are to be compared under the suppositions that the patients remain on their

Reinterviewing, Reinterviewing  is the second interview for a sample of sur...

Reinterviewing  is the second interview for a sample of survey respondents in which questions of the original interview (or the subset of them) are repeated again. The same methods

Computer-aided diagnosis, Computer-aided diagnosis : The computer programs ...

Computer-aided diagnosis : The computer programs which are designed to support clinical decision making. In common, such systems are based on the repeated application of the Bay

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd