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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.

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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Kindy answer the following questions: Use 5% level of significance if needed

 

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.
Transcribed Image Text: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.
Echo, a data analyst, believes that spending more on online advertising is crucial in earning high e-commerce sales. To verify his assertion, he randomly selected 40 registered online stores and asked their monthly revenues (in pesos) and advertising costs (in pesos). Q33. To determine the effect of advertising cost to the monthly revenue of online stores, regression analysis was performed with. dependent variable and as the as the independent variable. O advertising cost, monthly revenue O advertising cost, online stores O monthly revenue, advertising cost O monthly revenue, online stores Q34. The assumption of linear regression was satisfied as shown by the given scatter plot of monthly revenues and advertising costs. monthly sales in p 00000 ponos 20000 linearity normality 30000 adventing costs homoscedasticity multicollinearity 40000 50000
Transcribed Image Text:Echo, a data analyst, believes that spending more on online advertising is crucial in earning high e-commerce sales. To verify his assertion, he randomly selected 40 registered online stores and asked their monthly revenues (in pesos) and advertising costs (in pesos). Q33. To determine the effect of advertising cost to the monthly revenue of online stores, regression analysis was performed with. dependent variable and as the as the independent variable. O advertising cost, monthly revenue O advertising cost, online stores O monthly revenue, advertising cost O monthly revenue, online stores Q34. The assumption of linear regression was satisfied as shown by the given scatter plot of monthly revenues and advertising costs. monthly sales in p 00000 ponos 20000 linearity normality 30000 adventing costs homoscedasticity multicollinearity 40000 50000
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