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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

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 much of the variation in laptop sales is explained by the model?

65%

42%

91%

0%

image text in transcribed
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 F Sig Regression 546491.123 2 273245.561 71.080 000 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. (Constant) -2.461 22.096 -.111 911 internet ads 3.640 365 552 9.963 000 product attractiveness 14.020 3.141 .247 4.464 000 a. Dependent Variable: laptop sales

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