Mplus VERSION 8.7 (Mac) MUTHEN & MUTHEN 10/21/2021 10:45 PM INPUT INSTRUCTIONS TITLE: this is an example of a simple linear regression for a continuous observed dependent variable with two covariates DATA: FILE IS ex3.1.dat; VARIABLE: NAMES ARE y1 x1 x3; MODEL: y1 ON x1 x3; INPUT READING TERMINATED NORMALLY this is an example of a simple linear regression for a continuous observed dependent variable with two covariates SUMMARY OF ANALYSIS Number of groups 1 Number of observations 500 Number of dependent variables 1 Number of independent variables 2 Number of continuous latent variables 0 Observed dependent variables Continuous Y1 Observed independent variables X1 X3 Estimator ML Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Input data file(s) ex3.1.dat Input data format FREE UNIVARIATE SAMPLE STATISTICS UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS Variable/ Mean/ Skewness/ Minimum/ % with Percentiles Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median Y1 0.485 -0.012 -4.116 0.20% -0.768 0.070 0.429 500.000 2.408 -0.136 5.111 0.20% 0.777 1.894 X1 0.001 -0.133 -3.145 0.20% -0.922 -0.235 0.023 500.000 1.094 -0.162 2.920 0.20% 0.304 0.876 X3 -0.042 -0.057 -3.139 0.20% -0.921 -0.353 -0.040 500.000 0.957 -0.357 2.875 0.20% 0.274 0.859 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 4 Loglikelihood H0 Value -694.334 H1 Value -694.334 Information Criteria Akaike (AIC) 1396.667 Bayesian (BIC) 1413.526 Sample-Size Adjusted BIC 1400.830 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 0.000 Degrees of Freedom 0 P-Value 0.0000 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.000 Probability RMSEA <= .05 0.000 CFI/TLI CFI 1.000 TLI 1.000 Chi-Square Test of Model Fit for the Baseline Model Value 469.585 Degrees of Freedom 2 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.000 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Y1 ON X1 0.969 0.042 23.356 0.000 X3 0.649 0.044 14.626 0.000 Intercepts Y1 0.511 0.043 11.765 0.000 Residual Variances Y1 0.941 0.060 15.811 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.483E+00 (ratio of smallest to largest eigenvalue) Beginning Time: 22:45:53 Ending Time: 22:45:53 Elapsed Time: 00:00:00 MUTHEN & MUTHEN 3463 Stoner Ave. Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com Support: Support@StatModel.com Copyright (c) 1998-2021 Muthen & Muthen