Question: fRQ: Model Summary Std. Error of the Model R R Sguare Ad'lusted R Sguare Estimate 1 .1193 .912 .912 1.24394 a. Predictors: {Constant}, How much

 \fRQ: Model Summary Std. Error of the Model R R SguareAd'lusted R Sguare Estimate 1 .1193 .912 .912 1.24394 a. Predictors: {Constant},How much do you relate with the inuencer'? Scale from 1 to

2., where 1 2 Do not relate at all and 2 2Completely relate JillIiIlZJ'litlita Sum of Model Squares dt Mean Square F Sig.1 Regression 9.525 1 9.525 1.191 .994\" Residual 323.259 299 1.542 Total

\fRQ: Model Summary Std. Error of the Model R R Sguare Ad'lusted R Sguare Estimate 1 .1193 .912 .912 1.24394 a. Predictors: {Constant}, How much do you relate with the inuencer'? Scale from 1 to 2., where 1 2 Do not relate at all and 2 2 Completely relate JillIiIlZJ'litlita Sum of Model Squares dt Mean Square F Sig. 1 Regression 9.525 1 9.525 1.191 .994\" Residual 323.259 299 1.542 Total 332.925 219 a. Dependent Variable: How much of an expert do you think the inuencer is? Scale from 1 to 5, where 1 = Not at all an expert and 5 2 Very much an expert. p. Predictors: {Constant}, How much do you relate with the inuencer'? Scale from 1 to 2., where 1 2 Do not relate at all and 2 2 Completely relate Example 1: Regarding ROX, regression analysis indicates that the attitude toward the medium significantly predicts 20.00% of the variance in the time spent with the medium (R = .45, F = 16.88, p <.05>

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