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computer project for student exam scoresthe data in the excel spread sheet titled data for hypothesis testing in the column titled scores from
the null hypothesis - h0 beta1 0 ie there is homoscedasticity errors and no heteroscedasticity existsthe alternative hypothesis - h1 beta1 ne 0 ie
the null hypothesis - h0 there is no heteroscedasticity ie beta1 0the alternative hypothesis - h1 there is heteroscedasticity ie beta1
the null hypothesis - h0 beta0 0 h0 beta1 0 h0 beta2 0 betai 0the alternative hypothesis - h1 beta0 ne 0 h0 beta1 ne 0 h0 beta2 ne 0 betai ne
short-term credit decisionin no more than one typed page provide a statement of your decision to lend or not lend to this company based on your
long term credit decisionin no more than one typed page provide a statement of your decision to lend or not lend to this company based on your
in the time series plot and scatter graphs there were many outliers that were clearly visible these have been removed to identify if they were
homoscedasticity - reasons for screening datahomoscedasticity is the assumption that the variability in scores for a continuous variable is roughly
linearity - reasons for screening datamany of the technics of standard statistical analysis are based on the assumption that the relationship if any
normality - reasons for screening dataprior to analyzing multivariate normality one should consider univariate normality histogram normal q-qplot
outliers - reasons for screening dataoutliers are due to data entry errors subject is not a member of the population that the sample is trying to
missing data - reasons for screening datain case of any missing data the researcher needs to conduct tests to ascertain that the pattern of these
r-squared is regarded as the coefficient of determination and is used to give the proportion of the fluctuation of the variance of one variable to
the 4 assumptions of regression1 variables are normally distributed2 linear relationship between the
correlationthe correlation is commonly used and a useful statistic used to describe the degree of the relationships between two or more variables
the data used is from a statistical software minitab londonmpj is the file that consists of 1519 households drawn from 1980 - 1982 british family
a comprehensive regression analysis of the case study london has been carried out to test the 4 assumptions of regression1 variables are normally
a study of long term phone calls made from general electricss corporate headquarters in fairfeild conneticuit revealed the length of the calls in
the interest rate on the three year loan is 0087 whereas the interest rate on the two year loan is 0085 as given in a suppose that the liquidity
athe coupon rate of erie-chicago rail is 7 the interest rate of florida municipal bond with equal risk is 6 at what tax rate the two bonds are as
your company operates a machine shop and having heard you had experience in statistics and design of experiments consulted you for your opinion on an