REGRESSION SPSS SOFTWARE

none of the independent variables are related to household income. Setting the confidence interval at 95%, the results of ANOVA test (Table 2 below) provides an F-test value for the null hypothesis i.e. Error of the Estimate: It represents the standard deviation of the error term

REGRESSION SPSS SOFTWARE

Adjusted R Square: After removing the errors the software also presents the adjusted R square.R Square: Indicates how much of the total variation in the dependent variable is due to the independent variables.R: Multiple correlation coefficient that tells us how strongly the multiple independent variables are related to the dependent variable.Predictors: (Constant), Years with Current Employer, Age, Number of people in Household Years with Current Employer, Age, and Number of people in Household).ДЇurther the Standard Error of Estimate value reflected in the Table 1 is 12.021 is the mean absolute deviation, and is small considering the average household income ranges from 5000 to 25000 Rs.ДЄ. Further use of adjusted RВІ leads to a revised estimate that 60.8% of variability in Household income in the sample which is explained by three independent variables (i.e. In terms of variability, the value amount of RВІ= 0.634 or 63.4% which explains the variability within the population (this means that 63% population in the sample agree that on the correlation between the given variables). As can be seen the Linear Regression Coefficient R= 0.799 which indicates that there is strong correlation between dependent and independent variable (a closer figure to 1.000 means a strong correlation). RВІ and also the adjusted version of this coefficient as summary measures of the model fit. The Model Summary includes multiple correlation coefficient R and its Square i.e. The Model Fit output consists of вЂњModel SummaryвЂќ table and ANOVA table (Table 2). Inferences: Table 1below shows the Model Summary for the present test. Next Select independent variables like Age, Number of people in household and years with current employer and then move them to independent list. Select Household Income in thousands and move it to dependent list. Step 2: This would open the linear regression dialog box (Figure 2).Step 1: From the Menu, Choose Analyze-> Regression -> Linear as shown in Figure 1 given below:.dependent variable) is based on number of independent variables like age, number of household members and years with employer. For example a personвЂ™s household income (i.e. One can use the procedure to determine the influence of independent variables on dependent variable and to what extent. In order to determine the relationship between dependent variable and a set of multiple independent variables, linear regression analysis is conducted. Divya Narang and Priya Chetty on January 9, 2015

Regression spss