Discovering Statistics Using IBM SPSS Statistics: North American Edition

by Andy Field

Estimates: This option is selected by default because it gives us the estimated b-values for the model as well as the associated t-test and p-value (see Section 9.2.5). Confidence intervals: This option produces confidence intervals for each b-value in the model. Remember that if the model assumptions are not met these confidence intervals will be inaccurate and bootstrap confidence intervals should be used instead. Covariance matrix: This option produces a matrix of the covariances, correlation coefficients and variances between the b-values for each variable in the model. A variance–covariance matrix displays variances along the diagonal and covariances as off-diagonal elements. Correlations are produced in a separate matrix. Model fit: This option produces the F-test, R, R2 and the adjusted R2 (described in Sections 9.2.4. and 9.4.2). R squared change: This option displays the change in R2 resulting from the inclusion of a new predictor (or block of predictors) – see Section 9.9.2. Descriptives: This option displays a table of the mean, standard deviation and number of observations of the variables included in the model. A correlation matrix is produced too, which can be helpful for spotting multicollinearity.