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It has been established in the lecture that December is the seasonal trough for this time series data. That is, December index values are smaller than other months of the year, with the trend having been accounted for. Which TWO of the following statements are FALSE?a.The analysis is false, as the seasonal effect from the month of December is largest amongst all twelve months, estimated at 103.81b. At the 5% significance level, only the seasonal components from May to October (six months inclusive) are statistically larger than that of December.c.At the 5% significance level, only the seasonal components from June to October (five months inclusive) are statistically larger than that of December.d.The seasonal effect from the month of December is included as part of the intercept in this regression model.

Question

It has been established in the lecture that December is the seasonal trough for this time series data. That is, December index values are smaller than other months of the year, with the trend having been accounted for. Which TWO of the following statements are FALSE?a.The analysis is false, as the seasonal effect from the month of December is largest amongst all twelve months, estimated at 103.81b. At the 5% significance level, only the seasonal components from May to October (six months inclusive) are statistically larger than that of December.c.At the 5% significance level, only the seasonal components from June to October (five months inclusive) are statistically larger than that of December.d.The seasonal effect from the month of December is included as part of the intercept in this regression model.

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Solution

Without the specific data or the regression model, it's hard to definitively say which statements are false. However, based on the information given:

a. This statement could be false. If December is the seasonal trough, it means that it has the lowest values, not the largest. However, the value 103.81 could be a negative effect, in which case this statement might be true.

b. This statement could be true or false depending on the specific data. If the seasonal components from May to October are statistically larger than that of December, it would mean that these months have a greater effect on the time series data.

c. Similar to statement b, this could be true or false depending on the specific data. If the seasonal components from June to October are statistically larger than that of December, it would mean that these months have a greater effect on the time series data.

d. This statement is likely false. In a regression model, the intercept is the expected value of the dependent variable when all independent variables are zero. The seasonal effect from December would not be part of the intercept, but rather one of the independent variables.

So, based on the information given, statements a and d are likely false.

This problem has been solved

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