6. Which statement is correct?

a) The regression analysis is statistically significant (F1,22 = 5.042, p= .036)

b) The regression analysis is statistically significant (F1,21 = 5.042, p = .036)

c) The regression analysis is not statistically significant (F1,22 = 5.042, p = .036)

d) The regression analysis is not statistically significant (F1,21 = 5.042, p = .036)

Model Summary Adjusted R Model R R square square Std. error of the estimate 1 .440 .194 .155 4.74225 a. Predictors: (Constant), total of MOS social support ANOVA Model Sum of squares df Mean square F Sig. Regression 113.384 1 113.384 5.042 .036 Residual 472.268 21 22.489 Total 585.652 22 a. Predictors: (Constant), total of MOS social support b. Dependent variable: total off Oxford happiness Coefficients Unstandardized coefficients Standardized coefficients 95.0% Confidence Interval for B Std. Lower Upper Modal B Error Beta 1 Sig. Bound Bound (Constant) 22.929 2.289 10.016 .000 18.169 27.690 total of MOS social .090 .040 .440 2.245 .036 .007 .174 support a. Dependent variable: total of Oxford happiness