Q6 Regression

Linear Regression: The owner of a pizzeria wishes to build a model relating revenues to advertising expenditures into three categories: television, newspaper and direct mailing advertising. Summary Output Regression Statistics Multiple R 0.967 R Square 0.94 Adjusted R Square 0.887 Standard Error 0.64 Observations 8 ANOVA dF SS MS Significance F Regression 3 23.85 7.95 19.230.0077 Residual 4 1.65 0.413 Total 7 25.5 Standard Coefficents error t-test P-value Lower 956 Upper 959% Intercept 73.93 4.53 16.34 8. 216-05 61.37 86.5 Television 2.38 0.32 7.49 0.0017 1.5 3.27 Newspaper 1.45 0.356 4.09 0.015 0.467 2.44 Mail 1.82 0.27 7 6.57 2.80E-03 1.05 2.58 Explaining the relationship quantitatively between the independent variables and dependent variable which statement is not true? O For each one additional television advertisment, the revenue increases by 2.38 units. O The y-intercept is 73.93. O For each direct mailer, the revenue increases is 1.82. For each additional newspaper advertisement, the revenue decreases by 1.45 units