1c.At the 5% level, would you recommend that the band post flyers printed in color when advertising for their show (providedthat the increase in cost of printing in color is negligible)?O Yes. since we reject the relevantO Yes, since we do not reject the relevantO No, since we reject the relevant iO No, since we do not reject the relevantGive the adjusted R-squared for this model, (Round final answers to 4 decimal pleces)1d.Adjusted R-Squared:2. You will now obtain regression estimates predicting Attendance from the number of Flyers posted around town, whether the flyerswere posted in Color, and the interaction between Flyers and Color. Again, assume standard regression assumptions hold. As a quickdouble-check of your work. you should find that the adjusted R-squared for this model is 0.738320.Give the regression estimate assuming the modet Attendance Po PFlyers P2 Color-pylyen Color), (Roundyour answers to 4 decimel places.)Attendance7Phers) + "(Color) +Fyers Colg)2b.How many people are expected to attend if the band posted 80 flyers printed in color around town under this intecactionmodel? (Round finel answers to 2 decimal places)Predicted Attendance3.Which model do you prefer to estimate the attendance, the model with or without the interaction termO Without interaction, It has a smaller residual standard errorO Without interaction, it has a smaller R-squared valueO Without interaction, It has a smaller adjusted R-squared valueO Without interaction, it has a larger F-statisticO With Interaction, it has a smaller residual standard errorO With interaction, It has a larger R-squared valueO With interaction, it has a larger adjusted R-squared valueO With interaction, it has a larger F-statisticO Both models perform the same A local band hires a statistician to determine whether flyers are effective for increasing the audience for shows. For the band's lastelght shows, the statistician records how many people attended the shows (Audience), how many flyers were posted around town(Flyers), and whether or not the flyers were printed in color (Color =1 if the flyers were printed in color, Color 0 otherwise). Thecomplete data is contained in the accompanying table.Attendance489Flyers7070307040Color1891413532119632527614050501. You will obtain regression estimates predicting Attendance from the number of Flyers posted around town and whether the flyerswere posted in Color. Assume standard regression assumptions hold.Give the regression estimate assuming the model: Attendance = Bo + B"Flyers B2'Color, (Round your answers to 41a.decimal places.)Attendance= |(Flyers)"(Color)1b.How many people are expected to attend if the band posted 80 flyers printed in color around town? (Round final answersto 2 decimal places.)Predicted Attendance:

Question

1c.At the 5% level, would you recommend that the band post flyers printed in color when advertising for their show (providedthat the increase in cost of printing in color is negligible)?O Yes. since we reject the relevantO Yes, since we do not reject the relevantO No, since we reject the relevant iO No, since we do not reject the relevantGive the adjusted R-squared for this model, (Round final answers to 4 decimal pleces)1d.Adjusted R-Squared:2. You will now obtain regression estimates predicting Attendance from the number of Flyers posted around town, whether the flyerswere posted in Color, and the interaction between Flyers and Color. Again, assume standard regression assumptions hold. As a quickdouble-check of your work. you should find that the adjusted R-squared for this model is 0.738320.Give the regression estimate assuming the modet Attendance Po PFlyers P2 Color-pylyen Color), (Roundyour answers to 4 decimel places.)Attendance7Phers) + &#34;(Color) +Fyers Colg)2b.How many people are expected to attend if the band posted 80 flyers printed in color around town under this intecactionmodel? (Round finel answers to 2 decimal places)Predicted Attendance3.Which model do you prefer to estimate the attendance, the model with or without the interaction termO Without interaction, It has a smaller residual standard errorO Without interaction, it has a smaller R-squared valueO Without interaction, It has a smaller adjusted R-squared valueO Without interaction, it has a larger F-statisticO With Interaction, it has a smaller residual standard errorO With interaction, It has a larger R-squared valueO With interaction, it has a larger adjusted R-squared valueO With interaction, it has a larger F-statisticO Both models perform the same A local band hires a statistician to determine whether flyers are effective for increasing the audience for shows. For the band's lastelght shows, the statistician records how many people attended the shows (Audience), how many flyers were posted around town(Flyers), and whether or not the flyers were printed in color (Color =1 if the flyers were printed in color, Color 0 otherwise). Thecomplete data is contained in the accompanying table.Attendance489Flyers7070307040Color1891413532119632527614050501. You will obtain regression estimates predicting Attendance from the number of Flyers posted around town and whether the flyerswere posted in Color. Assume standard regression assumptions hold.Give the regression estimate assuming the model: Attendance = Bo + B&#34;Flyers B2'Color, (Round your answers to 41a.decimal places.)Attendance= |(Flyers)&#34;(Color)1b.How many people are expected to attend if the band posted 80 flyers printed in color around town? (Round final answersto 2 decimal places.)Predicted Attendance:

Accepted Answer

“Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…