Interpret the data results and output for both tables Table 1:ANOVA ANOVA Square
ID: 3335229 • Letter: I
Question
Interpret the data results and output for both tables Table 1:ANOVA ANOVA Squares df Mean Square 3.102 6.142 Model Sig. Regression 3.102 505 477 Residual 287549012 46815 Total 287552.114 46816 a. Dependent Variable: ADULTCT Number of adults in household b. Predictors: (Constant), 046a. Level of democracy today Coefficients Standardized Coefficients Beta Unstandardized Coefficients 025 004 Std. Error Sig Model 3.676 148.556 (Constant) 046a. Level of democracy today 003 003 477 a. Dependent Variable: ADULTCT: Number of adults in household IBM SPS O Type here to searchExplanation / Answer
a) The p-value of Regression = 0.477 > alpha 0.05, so we accept H0
Thus we conclude that the regression equation is not good fit to given data
b) The sign. value or p-value of constant Beta0 = 0.000 < alpha 0.05, so we reject H0
Thus we conclude that the intercept of regression coefficeint is not equal to zero
It is significant
The sign. value or p-value of constant Beta1 = 0.477 > alpha 0.05, so we do not reject H0
Thus we conclude that the intercept of regression coefficeint is equal to zero
It is not significant
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