Determining the base quarter

Reference no: EM1323124

Q1) Contractor developed multiplicative time series model to predict number of contracts in future quarters, by using quarterly data on number of contracts in 3-year period from 1996 to 1998. Following is resulting regression equation:

Y = 3.35 + .117Time - .083Q1 + 1.28Q2 + .617Q3

where Y is number of contracts in a quarter; Time is linear time trend measured in quarters from January 1996, Q1 is a dummy categorical variable equal to 1 in first quarter and 0 otherwise (see pg. 206 for discussion of categorical variables); Q2 is dummy variable equal to 1 in second quarter and 0 otherwise; and Q3 is final dummy variable equal to 1 in third quarter and 0 otherwise. Determine the Base Quarter?

a) Q1

b) Q2

c) Q3

d) Q4

Q2) Sample of 2000 people will be taken in South Africa where proportion of population with AIDS is .12 (p = .12). Standard error of sampling distribution of sample proportion, P_s, is

i) 240

ii) 0.000

iii) 0.007

iv) None of the above

Q3) Sample of 2000 people will be taken in South Africa where proportion of population with AIDS is .12 (p = .12). For sample proportion (P_s) defined above, expected value (mean) is

a) p = .88

b) X/n

c) p(1-p)/n

d) None of the above

Reference no: EM1323124

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