Question

In: Statistics and Probability

Year   Commodities%   Services% 1960 0.9 3.4 1961   0.6 1.7 1962 0.9    2.0 1963 0.9 2.0...

Year   Commodities%   Services%
1960 0.9 3.4
1961   0.6 1.7
1962 0.9    2.0
1963 0.9 2.0
1964 1.2 2.0
1965 1.1 2.3
1966 2.6 3.8
1967 1.9 4.3
1968 3.5 5.2
1969 4.7 6.9
1970 4.5 8.0
1971 3.6 5.7
1972 3.0 3.8
1973 7.4 4.4
1974 11.9 9.2
1975 8.8 9.6
1976 4.3 8.3
1977 5.8 7.7
1978 7.2 8.6
1979 11.3 11.0
1980 12.3 15.4
1981 8.4 13.1
1982 4.1 9.0
1983 2.9 3.5
1984 3.4 5.2
1985   2.1 5.1
1986   -0.9 5.0
1987 3.2 4.2
1988 3.5 4.6
1989 4.7 4.9
1990 5.2 5.5
1991 3.1 5.1
1992 2.0 3.9
1993 1.9 3.9
1994 1.7 3.3
1995 1.9 3.4
1996 2.6 3.2
1997 1.4 3.0
1998 0.1 2.7
1999 1.8 2.5
2000 3.3 3.4
2001 1.0 4.1
2002 -0.7 3.1
2003 1.0 3.2
2004 2.3 2.9
2005 3.6 3.3
2006 2.4 3.8

Use Data Set J, U.S. annual Percent Inflation in Prices of Commodities and Services (n=47), on page 536 of your textbook to answer the following questions. Commodities percentage (Commodities %) is the independent, variable and Services percentage (Services%) is the dependent variable. Data are year-to-year percent changes in the Consumer Price Index (CPI) in these two categories. The data file, Inflation, may be found on Canvas under Modules under Chapter 12 Textbook Data Files. Use MINITAB to obtain the simple regression equation, confidence interval, prediction interval, and required graphs. Insert tables and graphs in your report as appropriate. All interpretations should be in terms of the problem (data).

Use Minitab and produce the appropriate output to answer the following questions. Attach the output. Construct a scatter plot. Recalling what scatter plots are used for, write a couple of sentences addressing what you observed from the plot. Be sure to relate your observations to the purpose of using scatter plots in regression. (4 points)

Can we conclude that year-to-year changes in Commodities percentage (Commodities%) helps in predicting year-to year changes in Services percentage (Services%)? Follow and show the 7 steps for hypothesis testing. (12 points)

Find the sample regression equation and interpret the coefficients. Remember your interpretations should be in terms of the problem. (4 points)

Find the coefficient of determination, and interpret its value. (3 points)

Use residual analysis to check the validity of the model and fully explain your findings and conclusions. (6 points)

Estimate with 95% confidence the average year-to-year Services percentage for when all year-to-year Commodities change is 3.0%. Predict with 95% confidence the estimated Services percentage when an individual year’s Commodities change is 3.0%. Write at least one sentence using your confidence interval and at least one sentence using your prediction interval. (8 points)

Verify that the p-value for the F is the same as the slope’s t statistic’s p-value, and show that t2 = F. (3 points)

Attach or include relevant Minitab output to support your results in parts (1, 2, 3, 4, 5, and 6). (4 points)

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3300 Econometric HW obs RWAGES PRODUCT 1959 59.87100 48.02600 1960 61.31800 48.86500 1961 63.05400 50.56700 1962 65.19200 52.88200 1963 66.63300 54.95000 1964 68.25700 56.80800 1965 69.67600 58.81700 1966 72.30000 61.20400 1967 74.12100 62.54200 1968 76.89500 64.67700 1969 78.00800 64.99300 1970 79.45200 66.28500 1971 80.88600 69.01500 1972 83.32800 71.24300 1973 85.06200 73.41000 1974 83.98800 72.25700 1975 84.84300 74.79200 1976 87.14800 77.14500 1977 88.33500 78.45500 1978 89.73600 79.32000 1979 89.86300 79.30500 1980 89.59200 79.15100 1981 89.64500 80.77800 1982 90.63700 80.14800 1983 90.59100...
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