According to the output below:

1) Interpret the results in the context of the RQ

2) Were the hypothesis supported?

3) what does the unique and shared variance mean?

Research Question: What are the associations between gender, age, technology self-efficacy, intellect/imagination and daily technology use on self-reported attitudes toward technology?

Hypothesis: Firstly, is hypothesized that age will be negatively correlated with technology use and attitudes toward technology. This indicates that older individuals will engage with technology to a lesser extent than younger individuals and have more negative attitudes toward technology. Negative attitudes toward technology are hypothesized to be more common in Women than in Men. It is predicted that frequency of use of technology will be positively correlated with attitudes toward technology, as such higher frequency of use of technology indicates more positive attitudes toward technology. It is hypothesized that openness to experience will be positively correlated with attitudes toward technology. That is to say that individuals high in openness to experience tend to have active imaginations and are intellectually curious, therefore will tend to have more positive attitudes toward technology. Lastly, it is hypothesized that technology self-efficacy will be positively correlated with attitudes towards technology and frequency of use of technology. Suggesting that individuals high in technology self-efficacy will hold more positive attitudes toward technology and will tend to engage with technology more than those individuals with low technology self-efficacy.

Regression:

Variables Entered / Removeda Variables Variables Model Entered Removed Method 1 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 .765a .585 573 49042 a. Predictors: (Constant), age, FEMALE, TOTALFREQ, LNINIM, LNTSE ANOVA Sum of Model Squares df Mean Square F Sig 1 Regression 57.632 5 11.526 47.924 <.0015 residual .241 total a. dependent variable: totalatt b. predictors: age female totalfreq lninim lntsecoefficients standardized unstandardized coefficients correlations model b std. error beta sig. zero-order partial part .265 lntse .101 .223 .073 .159 .344 .229 .>