Order ID | 0981285508 |
Subject | Management |
Topic | Statistics For Business Decision Making |
Type | Questions-Answers |
Writer level | High School |
Style | APA |
Sources / references | 0 |
Language | English(U.S.) |
Description / paper instructions
Dear writer please find the attachment 5 question of Statistics For Business Decision Making.
and attached the PPT of the chapter if needed Statstics For Business Decision Making
A local grocery store in Abu Dhabi wants to predict its daily sales in dirhams. The manager believes that the amount of newspaper advertising significantly affects the store’s sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dirhams) and advertising expenditures (in thousands of dirhams). The Excel/MegaStat output given below summarizes the results of the regression model. At a significance level of .05, test the significance of the slope and state your conclusion.
A local grocery store in Abu Dhabi wants to predict its daily sales in dirhams. The manager believes that the amount of newspaper advertising significantly affects the store’s sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dirhams) and advertising expenditures (in thousands of dirhams). The Excel/MegaStat output given below summarizes the results of the regression model. What is the value of the simple coefficient of determination?
A local grocery store in Abu Dhabi wants to predict its daily sales in dirhams. The manager believes that the amount of newspaper advertising significantly affects the store’s sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dirhams) and advertising expenditures (in thousands of dirhams). The Excel/MegaStat output given below summarizes the results of the regression model. If the manager decides to spend 3000 AED on advertising, based on the simple linear regression results given above, what are the estimated sales?
A local grocery store in Abu Dhabi wants to predict its daily sales in dirhams. The manager believes that the amount of newspaper advertising significantly affects the store’s sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dirhams) and advertising expenditures (in thousands of dirhams). The Excel/MegaStat output given below summarizes the results of the regression model. What are the limits of the 99 percent prediction interval of the daily sales in dirhams of an individual grocery store that has spent 3000 AED on advertising expenditures? The distance value for this particular prediction is reported as .164.
A local grocery store in Abu Dhabi wants to predict its daily sales in dirhams. The manager believes that the amount of newspaper advertising significantly affects the store’s sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dirhams) and advertising expenditures (in thousands of dirhams). The Excel/MegaStat output given below summarizes the results of the regression model. Determine a 95 percent confidence interval estimate of the daily average store sales based on 3000 AED advertising expenditures. The distance value for this particular prediction is reported as .164. |