WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234...
DESCRIPTIVE STATISTICS: Create a table of descriptive statistics with an appropriate tabular format. See the Output A[2 pt]. STATISTICAL RESULTS: Report and statistically interpret the results with an appropriate tabular format and text. See the Output B. [6 pt] DISCUSSION: Discuss what the results imply. [2 pt] Output A. Descriptive statistics Statistics Exam Performance (%) Exam Anxiety N Valid 103 103 Missing 0 0 Mean 56.57 74.3437 Median 60.00 79.0440 Std. Deviation 25.941 17.18186 Minimum 2 1.00 Maximum 100 100.00...
DISPLAY A Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation 1.376 72.673 EXPENDITURE 48 3.656 9.774 5.946 SAT 48 854.000 1107.000 970.563 Valid N (listwise) 48 Model Summary Model R R Square Adjusted R Std. Error of Square the Estimate 65.492 453 205 188 a Predictors: (Constant), EXPENDITURE ANOVA Model F Sig. Sum of df Mean Square Squares 50920.77 11.872 0.001 4289.197 1 Regression 50920.77 1 Residual 197303.00 46 Total 248223.80 47 a Predictors: (Constant), EXPENDITURE b Dependent Variable:...
Model Summary Change Statistics Adjusted Std. Enor of R Square Model R R Square Square the Estimate 657 432 2904205716161 4 32 a. Predictors: (Constant, eigencentrality, Average 15All optimice_threshold_b F Changed 3.0393 Sig F Change .071 12 ANOVA Sig 071 Sum of Model Squares Mean Square Regression 1.612 537 3.099 Residual 2.12) 12 Total 3.735 a Dependent Variable: average_MSEMSE b. Predictors: (Constant. eigencentrality Average 15Aoptimized_threshold_b Coefficients Standardized Coeficients Beta Collinearity Stanisses Tolerance Model Sia 000 Unstandardized Coeficients B Sid Error...
Hello, appreciate if anyone could help me on Multiple Regression analysis. Thanks! Question 4 Use the multistep process to interpret the regression result below. This model has been run by a researcher trying to explain user pleasure of browsing Facebook. The independent variables are user perceptions of Perceived Usefulness, Complementary Convenience and Entertainment. Model Summary Change Statistics Std. Error R of the Adjusted R R Sig. F Change Model R df2 df1 Square Change Square Estimate Change Square 392 .097a...
Regression Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Warranty_Yearsb . Enter a. Dependent Variable: Number_of_people_mentioned b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .503a .253 .251 .95930 a. Predictors: (Constant), Warranty_Years ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 80.590 1 80.590 87.574 .000b Residual 237.425 258 .920 Total 318.015 259 a. Dependent Variable: Number_of_people_mentioned b. Predictors: (Constant), Warranty_Years Coefficientsa Model Unstandardized...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA) and social support (ASOCS) predict academic burnout (ABO) levels? Previous research has shown that people who have more positive affect tend to experience burnout less. Research has also shown that social support can help prevent burnout. Previous research has not found any relationship between positive affectivity and social support. | Descriptive Statistics Mean Std. Deviation N 3.3154 .92736 227 ABO PA 3.356 .6729 227...