A small independent organic food store offers a variety of specialty coffees. To determine whether price has an impact on sales, the managers kept track of how many pounds of each variety of coffee were sold last month. PRICE PER POUND POUNDS SOLD $ 3.99 75 $ 5.99 60 $ 7.00 65 $ 12.00 45 $ 4.50 80 $ 7.50 70 $ 15.00 25 $ 10.00 35 $ 12.50 40 $ 8.99 50 Mean $ 8.75 54.50 Standard Deviation $ 3.63 18.33 Correlation -0.927 Based on the data and summary statistics shown below, the slope of the estimated regression line that relates the response variable (monthly sales) to the predictor variable (price per pound) is ________________________ .
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Data were collected on company bonuses, the number of employ…
Data were collected on company bonuses, the number of employees at the company, and whether or not the employees were unionized (1 = yes, 0 = no) on a sample of 30 randomly selected. According to the multiple regression model below, at α = .05 we can conclude that ________________________ .
A large software development firm recently relocated its fac…
A large software development firm recently relocated its facilities. Top management is interested in fostering good relations with their new local community and has encouraged their professional employees to engage in local service activities. They believe that at least 40% or more of the employees engage in these types of activities. If this is not the case, they will institute an incentive program to increase community involvement. The correct null and alternative hypotheses to test the belief of top management are:
Data were collected on the number of employees and whether o…
Data were collected on the number of employees and whether or not the employees were unionized (1 = yes, 0 = no) for a sample of companies to investigate factors that affect the size of bonuses. Based on the results shown, which of the following statements is true?
A company studying the productivity of its employees on a ne…
A company studying the productivity of its employees on a new information system was interested in determining if the age (X) of data entry operators influenced the number of completed entries made per hour (Y). The regression equation is . Suppose the actual completed entries per hour for an operator who is 35 years old was 8. The residual is _______.
One division of a large defense contractor manufactures tele…
One division of a large defense contractor manufactures telecommunication equipment for the military. This division reports that 12% of non-electrical components are reworked. Management wants to determine if this percentage is the same as the percentage rework for the company’s electrical components. Based on a random sample of 450 electrical components, they find that 46 had to be reworked. The 99% confidence interval is ________________________.
EU (European Union) countries report that 46% of their labor…
EU (European Union) countries report that 46% of their labor force is female. The United Nations wants to determine if the percentage of females in the U.S. labor force is the same. Based on a sample of 500 employment records, representatives from the United States Department of Labor find that the 95% confidence interval for the proportion of females in the U.S. labor force is .357 to .443. Which of the following is the correct interpretation?
A sample of 33 companies was randomly selected and a multipl…
A sample of 33 companies was randomly selected and a multiple regression model was performed using average annual bonus and trust index (scale of 0 – 100) to explain turnover rate. According to the output below, what is the F statistic to determine the overall significance of the estimated is ________________________ .
Suppose the correlation, r, between two variables x and y is…
Suppose the correlation, r, between two variables x and y is -0.44. What percentage of the variability in y cannot be explained by x?
The time it takes to process phone orders in a small florist…
The time it takes to process phone orders in a small florist/gift shop is normally distributed with a mean of 6 minutes and a standard deviation of 1.24 minutes. What cutoff value would separate the 2.5% of orders that take the most time to process?