A model that can be used to make predictions about long-termfuture values of a t
ID: 2916445 • Letter: A
Question
A model that can be used to make predictions about long-termfuture values of a time series is A)exponential trend.B)quadratic trend.
C)linear trend.
D)all of the above
11. You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to A)compute moving averages.
B)compute the MAD statistic.
C)estimate a least square trend model.
D)perform exponential smoothing.
12. When a time series appears to be increasing at an increasingrate, such that the percentage difference from observation toobservation is constant, the appropriate model to fit is the A)linear trend.
B)exponential trend.
C)quadratic trend.
D)none of the above
A model that can be used to make predictions about long-termfuture values of a time series is A)exponential trend.
B)quadratic trend.
C)linear trend.
D)all of the above
A model that can be used to make predictions about long-termfuture values of a time series is 11. You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to A)compute moving averages.
B)compute the MAD statistic.
C)estimate a least square trend model.
D)perform exponential smoothing.
11. You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to A)compute moving averages.
B)compute the MAD statistic.
C)estimate a least square trend model.
D)perform exponential smoothing.
You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to 12. When a time series appears to be increasing at an increasingrate, such that the percentage difference from observation toobservation is constant, the appropriate model to fit is the A)linear trend.
B)exponential trend.
C)quadratic trend.
D)none of the above
12. When a time series appears to be increasing at an increasingrate, such that the percentage difference from observation toobservation is constant, the appropriate model to fit is the A)linear trend.
B)exponential trend.
C)quadratic trend.
D)none of the above
When a time series appears to be increasing at an increasingrate, such that the percentage difference from observation toobservation is constant, the appropriate model to fit is the
Explanation / Answer
10.A model that can be used to make predictions aboutlong-term future values of a time series is C) linear trend. 11. 11. You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to You need to decide whether you should invest in a particularstock. You would like to invest if the price is likely to rise inthe long run. You have data on the daily average price of thisstock over the past 12 months. Your best action is to A) compute moving averages 12.When a time series appears to be increasing at anincreasing rate, such that the percentage difference fromobservation to observation is constant, the appropriate model tofit is the D) none of the aboveRelated Questions
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