Assume you collected data representing the number of full-time employed males ('000) without access to paid leave entitlements in Australia from 1992 to 2007, fitted a third-order autoregressive model and found a p-value = 0.50 for the third-order autoregressive parameter. Based on this information what conclusion can you make. a. The second-order parameter of the autoregressive model is insignificant and can be deleted. b. The third-order parameter of the autoregressive model is significant and should remain in the model. c. The second-order parameter of the autoregressive model is significant and should remain in the model. d. The third-order parameter of the autoregressive model is insignificant and can be deleted.

A 2011 survey by the Bureau of Labor Statistics reported that 91% of Americans have paid leave. In January 2012, a random survey of 1,000 workers showed that 89% had paid leave.The resulting p-value is 0.0271; thus, the null hypothesis is rejected. It is concluded that there has been a decrease in the proportion of people who have paid leave from 2011 to January 2012.What type of error is possible in this situation? Type I Type II Neither Both

A 2011 survey by the Bureau of Labor Statistics reported that 91% of Americans have paid leave. In January 2012, a random survey of 1,000 workers showed that 89% had paid leave.The resulting p-value is 0.0271; thus, the null hypothesis is rejected. It is concluded that there has been a decrease in the proportion of people who have paid leave from 2011 to January 2012.What type of error is possible in this situation?Group of answer choicesNeitherType IBothType II

Which of the following is true for an autoregressive model?Answer choicesSelect only one optionREVISITIn an autoregressive model, the value from a time series is regressed on future values from that same time seriesIn an autoregressive model, the value from a time series is regressed on previous values from that same time seriesIn an autoregressive model, the value from a time series is regressed on previous values from a different time seriesIn an autoregressive model, the value from a time series is regressed on future values from a different time series

A leader of the Workers Union in New Zealand would like to study the movement in the average hourly earnings of New Zealand workers. He collected and recorded data on average earnings (AE, $), labour cost[1] (LC, $) and rate of inflation (RI, %). His data are saved in the t9e3 file.a) Set up a suitable regression model to investigate the impact of labour cost and rate of inflation on the hourly earnings of an average New Zealand worker.b) Do you expect the slope parameters to be positive or negative?c) Estimate the regression model.d) Do the estimated slope coefficients have the logical signs? Carefully explain the meanings of the estimated slope coefficients.e) What do the unadjusted and the adjusted coefficients of determination tell you about the quality of the fit?

P-A-F model