These tables provide the output from a multiple regression analysis, looking at the impact of number of Internet ads and product attractiveness on online laptop sales. How does how much of the variation in laptop sales is explained by the model?

Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate .647- .419 413 62.002 a. Predictors: (Constant), product attractiveness, internet ads ANOVA Sum of Model Squares df Mean Square sig Regression 546491.123 2 273245.561 71.080 Residual 757308.377 197 3844.205 Total 1303799.500 199 a. Dependent Variable: laptop sales b. Predictors: (Constant), product attractiveness, internet ads Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constan -2.461 22.096 .911 internet ads 3.640 365 552 9.963 .000 product attractiveness 14.020 3.141 247 4.464 .000 a. Dependent Variable: laptop sales These tables provide the output from a multiple regression analysis looking at the impact of number of internet ads and product att laptop sales is explained by the model? 42% 65% 91%