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Changes in business inventories are: 

Which of the following is true of the relationship between price and quantity supplied?

If Country A and Country B have the same population, then the standard of living in Country A will be ______ the standard of living in country B. 

JRCERT and JRC-DMS are agencies supported by the federal government.

TABLE 13-8It is believed that GPA (grade point average, based on a four point scale) should have a positive linear relationship with ACT scores. Given below is the Excel output from regressing GPA on ACT scores using a data set of 8 randomly chosen students from a Big-Ten university.  Regressing GPA on ACT   ANOVA  Referring to Table 13-8, what is the predicted average value of GPA when ACT = 20?

Test H0: β = 1 vs. H1: β < 1 if the following regression information are given: b1 = 1.39,  sb1= 0.18, and n = 30.

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:The manager of a used-car dealership is very interested in the resale price of used cars. The manager feels that the age of the car is important in determining the resale value. He collects data on the age and resale value of 15 cars and runs a regression analysis with the value of the car (in thousands of dollars) as the dependent variable and the age of the car (in years) as the independent variable. Unfortunately, he spilled his coffee on the printout and lost some of the results, identified by “A” through “F”. The partial results left are displayed below.What is the value of *E*?

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:An insurance company analyst is interested in analyzing the dollar value of damage in automobile accidents. She collects data from 115 accidents, and records the amount of damage as well as the age of the driver. The results of her regression analysis are listed below.How would you best explain the y-intercept in this situation?

For a two-tailed test of significance of slope coefficient (β1), the appropriate null hypothesisis most likely to be:

TABLE 13-10The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousand of dollars) for individual stores based on the number of customers who made purchases. A random sample of 12 stores yields the following results: CustomersSales (Thousands of Dollars)90711.2092611.057138.217419.217809.4289810.085106.735297.024606.128729.526507.536037.25Referring to Table 13-10, which is the correct null hypothesis for testing whether the number of customers who make purchase affects weekly sales?