Using the output of SPSS, please interpret the results. Prob>F = R-squred= Y= bx

Question

Using the output of SPSS, please interpret the results.

Prob>F =

R-squred=

Y= bx + a

P>|t|=

Model Summary Adjusted R Square Std. Error of the Estimate R Square 661 a. Predictors: (Constant), ffnum Model 8133 643 2.548 ANOVAa Sum of Squares df Mean Square 228.245 6.494 Model Sig 228.245 116.883 345.128 35.150 Regression Residual Tota a. Dependent Variable: bmi b. Predictors: (Constant), ffnum Coefficientsa Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta Sig (Constant) ffnum 21.438 704 785 119 27.308 5.929 813 a. Dependent Variable: bmi

Explanation / Answer

Prob>F = 0.000

As, Prob>F is less than significance level (0.05), at significance level of 0.05, the model is statistically significant in predicting bmi (dependent variable) given the ffnum (independent variable).

R-squred= 0.661

The regression model explains 66.1% of the variability of bmi (dependent variable)

Y= bx + a

The linear regression equation is,

bmi = 0.704 ffnum + 21.438

P>|t|= 0.000

The value of P>|t| is less than the significance level of 0.05 so we can conclude that the ffnum is a significant variable in the model predicting bmi.

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