TABLE 16-10
Business closures in Laramie, Wyoming from 2007 to 2012 were:
Microsoft Excel was used to fit both first-order and second-order autoregressive
models, resulting in the following partial outputs:
SUMMARY OUTPUT – 2nd Order Model
SUMMARY OUTPUT – 1st Order Model
Referring to Table 16-10, the fitted values for the first-order autoregressive model are
________, ________, ________, ________, and ________.
TABLE 16-15
Given below are the average prices for three types of energy products for five
consecutive years.
Referring to Table 16-15, what is the unweighted aggregate price index for the group of
three energy items in year 4 using year 1 as the base year?
TABLE 11-8
An important factor in selecting database software is the time required for a user to
learn how to use the system. To evaluate three potential brands (A, B and C) of database
software, a company designed a test involving five different employees. To reduce
variability due to differences among employees, each of the five employees is trained
on each of the three different brands. The amount of time (in hours) needed to learn
each of the three different brands is given below:
Below is the Excel output for the randomized block design:
Referring to Table 11-8, what is the p-value of the test statistic for the randomized block
F test for the difference in the means?
Referring to Table 14-16, ________ of the variation in Accel Time can be
explained by the two independent variables after taking into
consideration the number of independent variables and the number
of observations.
TABLE 14-16
What are the factors that determine the acceleration time (in sec.)
from 0 to 60 miles per hour of a car? Data on the following variables
for 30 different vehicle models were collected:
Y (Accel Time): Acceleration time in sec.
X1 (Engine Size): c.c.
X2 (Sedan): 1 if the vehicle model is a sedan and 0 otherwise
The regression results using acceleration time as the dependent
variable and the remaining variables as the independent variables are
presented below.
The various residual plots are as shown below.
The coefficient of partial determinations and are 0.3301,
and 0.0594, respectively.
The coefficient of determination for the regression model using each
of the 2 independent variables as the dependent variable and the
other independent variable as independent variables ( ) are,
respectively 0.0077, and 0.0077.
TABLE 17-11
A logistic regression model was estimated in order to predict the probability that a
randomly chosen university or college would be a private university using information
on mean total Scholastic Aptitude Test score (SAT) at the university or college, the
room and board expense measured in thousands of dollars (Room/Brd), and whether the
TOEFL criterion is at least 550 (Toefl550 = 1 if yes, 0 otherwise.) The dependent
variable, Y, is school type (Type = 1 if private and 0 otherwise).
Referring to Table 17-11, what should be the decision (‘reject’ or ‘do not reject’) on the
null hypothesis when testing whether SAT makes a significant contribution to the model
in the presence of the other independent variables at a 0.05 level of significance?
The number of 911 calls in Butte, Montana, has a Poisson distribution with a mean of
10 calls a day. The probability of 2 or more 911 calls in a day is ________.
TABLE 13-12
The manager of the purchasing department of a large saving and loan organization
would like to develop a model to predict the amount of time (measured in hours) it
takes to record a loan application. Data are collected from a sample of 30 days, and the
number of applications recorded and completion time in hours is recorded. Below is the
regression output:
Referring to Table 13-12, predict the amount of time it would take to process 150
invoices.