WHERE statement can be used in procedures to subset data while IF statement cannot be used in procedures.Difference between WHERE and IF statement?
The following questions would help you to prepare for SAS interview round.ġ. Why eigenvalue greater than 1 is considered to retain components? It is because the average eigenvalue will be 1, so > 1 implies higher than average.Įigenvectors are the coefficients of orthogonal (uncorrelated) transformation of variables into principal components. By 'variances', i mean the diagonal values of the covariance matrix below. Explain eigenvalues and eigenvectors intuitivelyĮigenvalues are variances explained by principal components. Use GLM Repeated Measures when a continuous variable and a categorical variable more than two dependent categories.ġ4. Use one way ANOVA when a continuous variable and a categorical variable having more than two independent categories. Use Paired T-test when a continuous variable and a categorical variable having two dependent or paired categories.
Use Independent T-test when a continuous variable and a categorical variable having two independent categories.
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How to statistically compare means between groups? PCA is used when we need to reduce the number of variables (dimensionality reduction) whereas FA is used when we need to group variables into some factors.ġ3.Whereas, the factor analysis explains the covariances or correlations between the variables. The main idea of using PCA is to explain as much of the total variance in the variables as possible.In Factor Analysis, the raw input variables are defined as linear combinations of the factors. In Principal Components Analysis, the components are calculated as linear combinations of the raw input variables.Difference between Factor Analysis and Principal Component Analysis?īoth the analysis are very much similar but they are different in terms of calculation and their practical usage : Whereas, unstandardized coefficient is measured in actual units.ġ1. The standardized coefficient is interpreted in terms of standard deviation. By 'standardize', it implies subtracting mean from each observation and divide that by the standard deviation. To calculate Standardized Coefficients, first we need to standardize both dependent and independent variables and use the standardized variables in the regression model to get standardized estimates. Difference between Standardized and Unstandardized Coefficients?
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