Software Output Coefficients: (Intercept) advertising.cost --- Estimate Std. Error t value 8316.9483 26845.9456 8.318 5.3325 8.6654 8.014 0.00888888189 *** Signif. codes: 0 0.001 8.818.05. 8.1 1 Pr(>It|) 8.758 Residual standard error: 36820 on 38 degrees of freedom Multiple R-squared: 8.6282, Adjusted R-squared: 0.6185 F-statistic: 64.22 on 1 and 38 DF, p-value: 0.000000001093 Q35. Given the following results of the regression analysis, it can be said that the monthly revenue of online stores is expected to per one peso increase in the advertising cost. decrease by 8316.9483 pesos decrease by 5.3325 pesos O increase by 8316.9483 pesos increase by 5.3325 pesos O 19,962.00 46,807.95 O159,975.00 O168.291.95 Q36. Using the estimated regression model, the monthly revenue is expected to be equal to. pesos if the online store is spending 30,000 pesos in advertising.

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