According to the output below:

1) was the regression model found to be significantly or not significantly different from zero?

2) What was the strongest predictor of attitudes towards technology?

3) What was the weakest predictor of attitudes towards technology?

4) report the overall variance explained. What does this mean?

5) what was the unique variance for each variable in analysis? What does this mean?

6) what was the shared variance? What does this mean?

Variables Entered / Removeda Variables Variables Model Entered Removed Method age, FEMALE, Enter TOTALFREQ, LNINIM, LNTSE a. Dependent Variable: TOTALATT b. All requested variables entered. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 765 585 573 49042 a. Predictors: (Constant), age, FEMALE, TOTALFREQ, LNINIM, LNTSE ANOVA Sum of Model Squares df Mean Square F Sig Regression 57.632 5 11.526 47.924 <.001b residual .241 total a. dependent variable: totalatt b. predictors: age female totalfreq lninim lntse coefficients standardized unstandardized correlations model b std. error beta sig. zero-order partial part .095 .003 .079>