Consider the following quarterly time series. The regression model developed for this dataset (period (t) 1 to 12), that has seasonality and trend, is as follows, stack y subscript t with hat on top equals 873 plus 41 Q t r 1 subscript t plus 113 Q t r 2 subscript t plus 158 Q t r 3 subscript t plus 27 t Quarter Year 1 Year 2 Year 3 1 923 1010 1220 2 1056 1156 1240 3 1124 1230 1315 4 992 1087 1198 Answer questions 11-12. What is the forecast value for the second quarter of next year

This problem has been solved! see the answerthe xyz corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. a survey of 23 randomly chosen employees reveals the data shown below. because of the casual sampling methodology in this survey, the sample sizes are unequal. research question: are the mean annual attendance rates the same for employees in these three departments? days worked last year by 23 employees department days worked budgets (5 workers) 278 260 265 245 258 payables (10 workers) 205 270 220 240 255 217 266 239 240 228 pricing (8 workers) 240 258 233 256 233 242 244 249 picture click here for the excel data filefill in the missing data. (round your p-value to 4 decimal places, mean values to 1 decimal place and other answers to 2group mean n std. dev variancesbudgets payables pricing total one factor anova source ss df ms f p-value treatment error total

The upper-level managers of synergy technology are meeting for the week to look at the long-term company goals and overall direction of the organization. the ceo has expressed her concern over the economy and has told her managers to look closely at the environment outside the organization before making decisions and to be future oriented. in this meeting, top managers of synergy are

Tariffs and quotas are often imposed when a government is more responsive to interests, and the benefits of those trade restrictions are often ; concentrated producer; widely dispersed consumer; widely dispersed consumer; concentrated