Question 1 A forecast based on the previous forecast plus a percentage of the forecast error is: Not yet answered O a. a qualitative forecast Marked out of Ob. a weighted moving average forecast 1.00 Oc. an exponentially smoothed forecast P Flag question O d. a naive forecast Oe. a moving average forecast Question 2 A fundamental distinction between trend projection and linear regression is that: Not yet answered O a. trend projection uses least squares while linear regression does not. Marked out of O b. only linear regression can have a negative slope. 1.00 P Flag question O c. linear regression tends to work better on data that lack trends. O d. trend projection uses two smoothing constants, not just one. O e. in trend projection the independent variable is time; in linear regression the independent variable need not be time, bu can be any variable with explanatory power.

Essentials Of Investments
11th Edition
ISBN:9781260013924
Author:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Publisher:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Chapter1: Investments: Background And Issues
Section: Chapter Questions
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نظام الأوامر القضائية 5
Abdulaziz Mohammed Salim Albalushi
TASA Learning Management System (LMS)
Time left 0:24:40
Question 1
A forecast based on the previous forecast plus a percentage of the forecast error is:
Not yet
answered
a.
a qualitative forecast
Marked out of
O b. a weighted moving average forecast
1.00
O c. an exponentially smoothed forecast
P Flag question
O d. a naive forecast
O e.
a moving average forecast
Question 2
A fundamental distinction between trend projection and linear regression is that:
Not yet
answered
O a. trend projection uses least squares while linear regressiİon does not.
Marked out of
O b. only linear regression can have a negative slope.
1.00
O c. linear regression tends to work better on data that lack trends.
Flag question.
O d. trend projection uses two smoothing constants, not just one.
O e. in trend projection the independent variable is time; in linear regression the independent variable need not be time, but
can be any variable with explanatory power.
6.
9:30 PM
87°F Cloudy ^ O G 4») ENG
4/9/202.
Transcribed Image Text:https://etimad.act.e.. O WhatsApp نظام الأوامر القضائية 5 Abdulaziz Mohammed Salim Albalushi TASA Learning Management System (LMS) Time left 0:24:40 Question 1 A forecast based on the previous forecast plus a percentage of the forecast error is: Not yet answered a. a qualitative forecast Marked out of O b. a weighted moving average forecast 1.00 O c. an exponentially smoothed forecast P Flag question O d. a naive forecast O e. a moving average forecast Question 2 A fundamental distinction between trend projection and linear regression is that: Not yet answered O a. trend projection uses least squares while linear regressiİon does not. Marked out of O b. only linear regression can have a negative slope. 1.00 O c. linear regression tends to work better on data that lack trends. Flag question. O d. trend projection uses two smoothing constants, not just one. O e. in trend projection the independent variable is time; in linear regression the independent variable need not be time, but can be any variable with explanatory power. 6. 9:30 PM 87°F Cloudy ^ O G 4») ENG 4/9/202.
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