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The following data show the time series of the most recent quarterly capital expenditures (in billions of dollars) for the 1000 largest manufacturing firms: 24, 25, 23, 24, 22, 26, 28, 31, 29, 32, 37, and 42.
a. Develop a linear trend equation for the time series.
b. Graph the time series and the linear trend equation.
c. What appears to be happening to capital expenditures? What is the forecast one year, or four quarters, into the future?
What does the coefficient of determination tell you about the variation attendance and the variation in the number of exhibitors?
Use the five steps of hypothesis testing to determine whether the observed differences in the number of activities in the following table performed by the three groups are statistically significant at the .05 level of significance. Clearly indicat..
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Consider a multinomial experiment involving n = 300 and k = 5 cells. The observed frequencies resulting from the experiment are shown in the accompanying table, and the null hypothesis to be tested is as follows:
In a poll of 1,004 adults, 93% indicated that restaurants and bars should refuse service to patrons who have had too much to drink. Construct the 90% confidence interval for the proportion of all adults who feel the identical way.
Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a:
Assume that the master budget for Cannondale shows total variable expenses of $10,000. The budget was based on production of 5,000 units. Cannondale sells all units it produces.
The regression equation is Y = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the critical value to test the significance of the slope at the 0.01 significance level?
Suppose B^0 and B^1(beta hut 0 and beta hut 1) are the least squares estimates of B0 and B1 of the first model. Find the estimates of B0* and B1* in terms of B^0 and B^1.
Develop a decision tree for the case of a company operating at full capacity and with product demand rising. The choice is between new equipment and overtime.
To develop 3-month and 2-month moving average for the time series.The following data represents demand for company ABC's products for the last 10 months.
A company wants to know if minorities are more likely to be in certain job categories than others. Their data base codes employees 1 for clerical, 2 for custodial, and 3 for manager. A logistic equation was fit to the data with SPSS.
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