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TABLE 7-7
Times spent studying by students in the week before final exams follow a normal
distribution with standard deviation 8 hours. A random sample of 4 students was taken
from a population of 50 in order to estimate the mean study time for the population of
all students. Use the finite population correction.
Referring to Table 7-7, what is the probability that the sample mean differs from the
population mean by more than 3 hours?
TABLE 17-5
You worked as an intern at We Always Win Car Insurance Company last summer. You
notice that individual car insurance premiums depend very much on the age of the
individual, the number of traffic tickets received by the individual, and the population
density of the city in which the individual lives. You performed a regression analysis in
EXCEL and obtained the following information:
Referring to Table 17-5, the adjusted r2 is ________.
TABLE 17-5
You worked as an intern at We Always Win Car Insurance Company last summer. You
notice that individual car insurance premiums depend very much on the age of the
individual, the number of traffic tickets received by the individual, and the population
density of the city in which the individual lives. You performed a regression analysis in
EXCEL and obtained the following information:
Referring to Table 17-5, the residual mean squares (MSE) that are missing in the
ANOVA table should be ________.
TABLE 15-5
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 171 different vehicle models were
collected:
Accel Time: Acceleration time in sec.
Cargo Vol: Cargo volume in cu. ft.
HP: Horsepower
MPG: Miles per gallon
SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan
are both 0
Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan
are both 0
The coefficient of multiple determination ( ) for the regression model using each of
the 5 variables Xj as the dependent variable and all other X variables as independent
variables are, respectively, 0.7461, 0.5676, 0.6764, 0.8582, 0.6632.
Referring to Table 15-5, what is the value of the variance inflationary factor of Cargo
Vol?
Referring to Table 14-7, the department head wants to use a t test to
test for the signiticance of the coefficient of X1. The value of the test
statistic is ________.
TABLE 14-7
The department head of the accounting department wanted to see if
she could predict the GPA of students using the number of course
units (credits) and total SAT scores of each. She takes a sample of
students and generates the following Microsoft Excel output:
TABLE 13-10
The management of a chain electronic store would like to develop a model for
predicting the weekly sales (in thousands of dollars) for individual stores based on the
number of customers who made purchases. A random sample of 12 stores yields the
following results:
Referring to Table 13-10, what is the value of the t test statistic when testing whether
the number of customers who make a purchase affects weekly sales?
TABLE 5-8
Two different designs on a new line of winter jackets for the coming winter are
available for your manufacturing plants. Your profit (in thousands of dollars) will
depend on the taste of the consumers when winter arrives. The probability of the three
possible different tastes of the consumers and the corresponding profits are presented in
the following table.
Referring to Table 5-8, what is the expected profit if you increase the shift of your
production lines and choose to produce both designs?
TABLE 17-10
Given below are results from the regression analysis where the dependent variable is
the number of weeks a worker is unemployed due to a layoff (Unemploy) and the
independent variables are the age of the worker (Age), the number of years of education
received (Edu), the number of years at the previous job (Job Yr), a dummy variable for
marital status (Married: 1 = married, 0 = otherwise), a dummy variable for head of
household (Head: 1 = yes, 0 = no) and a dummy variable for management position
(Manager: 1 = yes, 0 = no). We shall call this Model 1. The coefficient of partial
determination ( ) of each of the 6 predictors are, respectively,
0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201.
Model 2 is the regression analysis where the dependent variable is Unemploy and the
independent variables are Age and Manager. The results of the regression analysis are
given below:
Referring to Table 17-10 and using both Model 1 and Model 2, what are the degrees of
freedom of the test statistic for testing whether the independent variables that are not
significant individually are also not significant as a group in explaining the variation in
the dependent variable at a 5% level of significance?
