QUESTION 26 Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 .647a .419 .413 62.002 a. Predictors: (Constant), product attractiveness, internet ads ANOVA F Sig. .000 71.080 Sum of Model Squares df Mean Square 1 Regression 546491.123 2 273245.561 Residual 757308.377 197 3844.205 Total 1303799.500 199 a. Dependent Variable: laptop sales b. Predictors: (Constant), product attractiveness, internet ads Coefficients Standardized Coefficients Beta Unstandardized Coefficients Model B Std. Error 1 (Constant) -2.461 22.096 internet ads 3.640 .365 product attractiveness 14.020 3.141 a. Dependent Variable: laptop sales -111 9.963 Sig. .911 .000 .000 552 .247 4.464
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. are internet ads a significant predictor of laptop sales? yes, internet ads predict a significant decrease in sales. yes, but the association between internet ads and sales is barely significant. no, internet ads do not significantly predict sales. yes, internet ads predict a significant increase in sales.
