Check the assumptions behind the analysis and explain the output Mode Entered Me

Question

Check the assumptions behind the analysis and explain the output

Mode Entered Method Removed Diastolic BP Enter mmHg a. Dependent Variable: Systolic BP mmHg b. All requested variables entered. Model Summary Adjusted R Std. Error of R Square Square the Estimate Model 707 499 499 15.69806 a. Predictors: (Constant), Diastolic BP mmHg ANOVA Sum of Squares df Mean Square Sig Mode 1 366842.190 1488.633 1.000 Regression 366842.190 1492 367672.025 246.429 Residual Total 734514.214 1 493 a. Dependent Variable: Systolic BP mmHg b. Predictors: (Constant), Diastolic BP mmHg Coefficients Standardized Unstandardized Coefficients Coefficients Std. Error Beta Mode 21.066 3.010 6.998 (Constant Diastolic BP mmHg 1.381 036 707 38.583 a. Dependent Variable: Systolic BP mmHg Sig .000 000

Explanation / Answer

Result:

Assumption for regression:

The data measured at least in interval scale.

The relation between x and y are linear

Independence of Errors

Homoscedasticity

Normality of Error Distribution

From the given information data are in continuous scale.

The estimated regression line is

Systolic BP = 21.066+1.381*Diastolic BP

Calculated F=1488.633, P=.000 which is < 0.05 level of significance.

The regression model is significant.

R square =0.707

70.7% of variance in Systolic BP is explained by the regression model.

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