A group of season ticket holders wants to forecast attendance at National Football League (NFL) games for the upcoming season. One ticket holder argues that using the population of the United States as the only independent variable would explain as much as using both the United States population and the percent change in disposable income (per capita) as independent variables. Another ticket holder argues that using the percent change in disposable income (per capita) asthe only independent variable would provide the most accurate forecast. Listed below are the Adjusted R2 values for three regression models. Based on these values, and keeping in mind that the ticket holders are only concerned about forecasting, what is the correct conclusion?
- NFL Attendance vs. US Population and Percent Change in Disposable Income.
Adjusted R2= 0.8964 - NFL Attendance vs. US Population: Adjusted R2= 0.8609 - NFL Attendance vs. Percent Change in Disposable Income. Adjusted R2= -0.0244

The owner of a small bakery is interested in forecasting the bakery's total sales for a certain date. The owner believes that sales on a given day are influenced by the day's highest temperature (in degrees F) and whether the day falls on a weekend (Saturday or Sunday). A random sample of 60 days is taken from November 2013 to May 2014; the regression results are given below. If the high temperature for tomorrow, a Thursday, is forecasted to be 60 degrees F, what does the model predict the total sales will be?

Note that the weekend dummy variable takes a value of one for Saturday and Sunday and zero otherwise.

A government is considering issuing a fixed number of permits allowing firms to pollute. When would this system fail to reduce pollution?

What are the items that companies using the International Financial Reporting Standards (IFRS) might place in different sections within the statement of cash flows compared to those reporting under US Generally Accepted Accounting Principles (GAAP)?

A doctor wants to predict the probability that a woman develops breast cancer based on her age, race, and diet. Which of the following statistical tools is the MOST suitable for this study?