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aestion Completion Status: 2702K QUESTION 24 One of the great unanswered questions in the entertainment industry is: "What really makes a TV show a hit in an attempt to shed some light on this data were collected on a random sample of 24 television shows that ran in this in 2012. The data is available in the Excel file, in worksheet TV data. Use this for questions 20 to 25 below. The variables are defined as: SetSpend: The amount in thousands of dollars per week, spent on physical set where the show is taped background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spent on salaries for the actors in the show Cable: Was the TV released for Cable TV. 1 means ves, and 0 means no Revenue: Weekly revenues in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertisingerned by that show. This is the dependent variable. For a show with SetSpend 964k and is NOT released for Cable TV (Cable_i=0). If you make a 95% prediction interval forecast using the "Model Both" model, what is the appropriate value of the standard error when constructing the intervall 209 OOO 500 524 QUESTION 25 ck Save and Submit to save and submit. Click Save All Answers to save all arisan ype here to search QUESTION 25 One of the great unanswered questions in the entertainment industry is: "What really makes a TV show a hit?" In an attempt to shed some light on this, data were below. The variables are defined as: SetSpend: The amount, in thousands of dollars per week, spent on the physical set where the show is taped: background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spent c alaries for the actors in the show. Cable: Was the TV released for Cable TV. 1 meanss, and 0 means Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Comparing the "Model All" and "Mol Both", which one is better? None of the above is correct. "Model All" is better because its R Square is slightly higur. "Model Both" is better because the CastSpend is insignificant. There is no difference between the two models. QUESTION 26 QUESTION 27 One of the great unanswered questions in the entertainment industry is: "What really makes a TV show a hit?" In an attempt to shed some light on this, data were collected on a random sample of 24 television shows that ran in the U.S. in 2012. The data is available in the Excel file, in worksheet TV data. Use this for questions 20 to 25 below. The variables are defined as: SetSpend: The amount, in thousands of dollars per week, spent on the physical set where the show is taped: background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spentolaries for the actors in the show. Cable: Was the TV released for Cable TV. 1 means yes, and 0 means Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Based on your calculation in Question 26, shou! our studio invest tooduce the show "UTD Strong"? Yes, because the highest possible revenue in prediction interval can cover the budget. No, because the lowest possible revenue in prediction interval can NOT cover the budget No, because the highest possible revenue in prediction interval can NOT cover the budget. Yes, because the lowest possible revenue in prediction interval can cover the budget. QUESTION 28 One of the great unanswered questions in the entertainment Industry is: "What really makes a TV show a hit?" in an attempt to shed some light on this data were collected on a random sample of 24 television shows that ran in the U.S. in 2012. The data is available in the Excel file, in worksheet TV data. Use this for questions 20 to 25 below. The variables are defined as: SetSpend: The amount, in thousands of dollars per week, spent on the physical set where the show is taped:background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spent on salaries for the actors in the show. Cable: Was the TV released for Cable TV. 1 means and O means... Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Should your studio release any shovrough Cable? No, because Cable has a negative correlation with the revenue. Yes, because Cable could cover a larger group of customer. Yes, because Cable has a positive correlation with the revenue. No, because Cable is an independent variable and therefore, does not impact the revenue. aestion Completion Status: 2702K QUESTION 24 One of the great unanswered questions in the entertainment industry is: "What really makes a TV show a hit in an attempt to shed some light on this data were collected on a random sample of 24 television shows that ran in this in 2012. The data is available in the Excel file, in worksheet TV data. Use this for questions 20 to 25 below. The variables are defined as: SetSpend: The amount in thousands of dollars per week, spent on physical set where the show is taped background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spent on salaries for the actors in the show Cable: Was the TV released for Cable TV. 1 means ves, and 0 means no Revenue: Weekly revenues in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertisingerned by that show. This is the dependent variable. For a show with SetSpend 964k and is NOT released for Cable TV (Cable_i=0). If you make a 95% prediction interval forecast using the "Model Both" model, what is the appropriate value of the standard error when constructing the intervall 209 OOO 500 524 QUESTION 25 ck Save and Submit to save and submit. Click Save All Answers to save all arisan ype here to search QUESTION 25 One of the great unanswered questions in the entertainment industry is: "What really makes a TV show a hit?" In an attempt to shed some light on this, data were below. The variables are defined as: SetSpend: The amount, in thousands of dollars per week, spent on the physical set where the show is taped: background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spent c alaries for the actors in the show. Cable: Was the TV released for Cable TV. 1 meanss, and 0 means Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Comparing the "Model All" and "Mol Both", which one is better? None of the above is correct. "Model All" is better because its R Square is slightly higur. "Model Both" is better because the CastSpend is insignificant. There is no difference between the two models. QUESTION 26 QUESTION 27 One of the great unanswered questions in the entertainment industry is: "What really makes a TV show a hit?" In an attempt to shed some light on this, data were collected on a random sample of 24 television shows that ran in the U.S. in 2012. The data is available in the Excel file, in worksheet TV data. Use this for questions 20 to 25 below. The variables are defined as: SetSpend: The amount, in thousands of dollars per week, spent on the physical set where the show is taped: background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spentolaries for the actors in the show. Cable: Was the TV released for Cable TV. 1 means yes, and 0 means Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Based on your calculation in Question 26, shou! our studio invest tooduce the show "UTD Strong"? Yes, because the highest possible revenue in prediction interval can cover the budget. No, because the lowest possible revenue in prediction interval can NOT cover the budget No, because the highest possible revenue in prediction interval can NOT cover the budget. Yes, because the lowest possible revenue in prediction interval can cover the budget. QUESTION 28 One of the great unanswered questions in the entertainment Industry is: "What really makes a TV show a hit?" in an attempt to shed some light on this data were collected on a random sample of 24 television shows that ran in the U.S. in 2012. The data is available in the Excel file, in worksheet TV data. Use this for questions 20 to 25 below. The variables are defined as: SetSpend: The amount, in thousands of dollars per week, spent on the physical set where the show is taped:background, props, landscaping, lighting, wardrobes, etc. CastSpend: The amount, in thousands of dollars per week, spent on salaries for the actors in the show. Cable: Was the TV released for Cable TV. 1 means and O means... Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Revenue: Weekly revenues, in thousands of dollars, from advertising earned by that show. This is the dependent variable. Should your studio release any shovrough Cable? No, because Cable has a negative correlation with the revenue. Yes, because Cable could cover a larger group of customer. Yes, because Cable has a positive correlation with the revenue. No, because Cable is an independent variable and therefore, does not impact the revenue