Spreadsheet Modeling & Decision Analysis: A Practical Introduction To Business Analytics, Loose-leaf Version
8th Edition
ISBN: 9781337274852
Author: Ragsdale, Cliff
Publisher: South-Western College Pub
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The following time series represents the number of automobiles sold by a car dealership each of the past five months.
t
1
2
3
4
5
Yt
7
12
10
13
14
(a) Construct a time series plot.
What type of pattern exists in the data?
The time series plot shows a linear trend.The time series plot shows a horizontal pattern. The time series plot shows a seasonal pattern.The time series plot shows a nonlinear trend.
(b)
Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series.
t =
(c)
What is the forecast for
t = 6?
The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females.
Regression Analysis: Height Versus Shoe Size,
Gender
Coefficients
Term
Coef
Constant
55.28
SE Coef
1.04
T-Value
P-Value
Shoe Size
0.105
Gender
0.268
0.12
0.489
53.1
0.875
0.000
0.000
0.548
0.000
(a) The dependent variable in this regression is which of the following?
height
gender
shoe size
constant
(b)
What is the regression coefficient of shoe size?
(c) What is the regression coefficient of gender?
When testing the IFE (International Fisher Effect), we run a linear regression, R^2 could be used to measure
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