(USE ONLY EXCEL SHEET FOR DATA, FORMULAS, and the GRAPHS) For the following list of data (number of sold cars in every year), apply "exponential smoothing with trend" for all the years below. (i. e find the Forecast case1 use \alpha = 0.01 and \ including trend): beta = 0.3 - - - --- case2 use: for \alpha = 0.1 and \ beta = 0.05 Calculate MAD for both cases (5 %). . Decide which case values are better and why? (5 %) Assume trend is zero for the 2012 years. Year Number of sold cars 2012 107 2013 113 2014 150 2015 133 2016 151 2017 1 Based on least squared regression method find the projections for the years 2021, 2022, and 2023. Plot the number of sold cars versus years (points graph) and show the trend line based on your projections. (5%).

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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(USE ONLY EXCEL SHEET FOR DATA, FORMULAS, and
the GRAPHS) For the following list of data (number of
sold cars in every year), apply "exponential smoothing
with trend" for all the years below. (i. e find the Forecast
case1 use \alpha = 0.01 and \
including trend):
beta = 0.3
-
-
-
---
case2 use: for \alpha = 0.1 and \
beta = 0.05 Calculate MAD for both cases (5 %).
.
Decide which case values are better and why? (5 %)
Assume trend is zero for the 2012 years. Year Number
of sold cars
2012 107 2013 113 2014 150 2015 133 2016 151 2017 1
Based on least squared regression method find the
projections for the years 2021, 2022, and 2023. Plot
the number of sold cars versus years (points graph) and
show the trend line based on your projections. (5%).
Transcribed Image Text:(USE ONLY EXCEL SHEET FOR DATA, FORMULAS, and the GRAPHS) For the following list of data (number of sold cars in every year), apply "exponential smoothing with trend" for all the years below. (i. e find the Forecast case1 use \alpha = 0.01 and \ including trend): beta = 0.3 - - - --- case2 use: for \alpha = 0.1 and \ beta = 0.05 Calculate MAD for both cases (5 %). . Decide which case values are better and why? (5 %) Assume trend is zero for the 2012 years. Year Number of sold cars 2012 107 2013 113 2014 150 2015 133 2016 151 2017 1 Based on least squared regression method find the projections for the years 2021, 2022, and 2023. Plot the number of sold cars versus years (points graph) and show the trend line based on your projections. (5%).
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