Marketing Research - Regression Analysis

Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate .555 308 .304 1.286 a. Predictors: (Constant), X4 -- I often try new brands before my friends and neighbors ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 145.487 1 145.487 87.967 <.0010 residual total a. dependent variable: x10 smart robot vacuum product perceptions b. predictors: x4 i often try new brands before my friends and neighbors coefficientsa standardized unstandardized coefficients model b std. error beta sig. .251 .571 .555 interpret the results. what is value of r square does it mean are both significant explain how you determine significance. write out based on estimates>