Solution:
Solution(a-2): The option selected by you is right. The correct option is Option(c).
Solution(b-1): The solution to this is given in column C in the above snapshot.
Solution(b-2): MSE = 6.65 and MAD = 2.02
Solution(c-1): The solution to this is given in column F in the above snapshot.
Solution(c-2): MSE = 6.70 and MAD = 2.05
Solution(d): For , the MSE and MAD are less. Hence the more appropriate value of is 0.2
Forecasting for the period 21 can be computed as,
Round all intermediate calculations to at least 4 decimal places. Consider the following sample data, consisting...
Year Poverty Rate 1986 10.9 1987 10.7 1988 10.4 1989 10.3 1990 10.7 1991 11.5 1992 11.9 1993 12.3 1994 11.6 1995 10.8 1996 11 1997 10.3 1998 10 1999 9.3 2000 8.7 2001 9.2 2002 9.6 2003 10 2004 10.2 2005 9.9 2006 9.8 2007 9.8 2008 10.3 2009 11.1 According to the Census Bureau, the number of people below the poverty level has been steadily increasing (CNN, September 16, 2010). This means many families are finding themselves there...
The following data represent soil water content (percentage of water by volume) for independent random samples of soil taken from two experimental fields growing bell peppers. Soil water content from field I: x1; n1 = 72 15.2 11.3 10.1 10.8 16.6 8.3 9.1 12.3 9.1 14.3 10.7 16.1 10.2 15.2 8.9 9.5 9.6 11.3 14.0 11.3 15.6 11.2 13.8 9.0 8.4 8.2 12.0 13.9 11.6 16.0 9.6 11.4 8.4 8.0 14.1 10.9 13.2 13.8 14.6 10.2 11.5 13.1 14.7 12.5...
can u clearly show me how to find a sample size (N) , A2, and can you also tell me why we are using an X Chart? Problem 1 A restaurant wants to control kitchen preparation time of dinner meals using an X chart. The process standard deviation is unknown. Each evening a manager takes a random sample of 14 dinner orders and measures and records their kitchen preparation time. Create an X Chart using data in the table below...
(Round all intermediate calculations to at least 4 decimal places.) Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Linear Quadratic Cubic Intercept 25.97 20.73 16.20 x 0.47 2.82 6.43 x2 NA −0.20 −0.92 x3 NA NA 0.04 R2 0.060 0.138 0.163 Adjusted R2 0.035 0.091 0.093 pictureClick here for the Excel Data File a. Predict y for x = 3 and 5 with each of the...
Complete the following four hypotheses, using α = 0.05 for each. The week 5 spreadsheet can be used in these analyses. 1. Mean sales per week exceed 42.5 per salesperson 2. Proportion receiving online training is less than 55% 3 Mean calls made among those with no training is at least 145 4. Mean time per call is 14.7 minutes Using the same data set from part A, perform the hypothesis test for each speculation in order to see if...