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, to test the claim that the mean amount of time depends
positively on the number of loan applications recorded against the null hypothesis that
the mean amount of time does not depend linearly on the number of invoices processed,
the p-value of the test statistic is ________.
TABLE 2-12
The table below contains the opinions of a sample of 200 people broken down by
gender about the latest congressional plan to eliminate anti-trust exemptions for
professional baseball.
Referring to Table 2-12, ________ percent of the 200 were females who were against
the plan.
The online access computer service industry is growing at an extraordinary rate.
Current estimates suggest that 75% of the home-based computers have access to online
services. Suppose 20 people with home-based computers were randomly and
independently sampled. Find the probability that more than 9 of those sampled
currently do not have access to online services.
TABLE 8-14
The superintendent of a unified school district of a small town wants to make sure that
no more than 5% of the students skip more than 10 days of school in a year. A random
sample of 145 students from a population of 800 showed that 12 students skipped more
than 10 days of school last year.
Referring to Table 8-14, what is the critical value for the 95% one-sided confidence
interval for the proportion of students who skipped more than 10 days of school last
year?
TABLE 17-3
A financial analyst wanted to examine the relationship between salary (in $1,000) and 4
variables: age (X1 = Age), experience in the field (X2 = Exper), number of degrees (X3 =
Degrees), and number of previous jobs in the field (X4 = Prevjobs). He took a sample of
20 employees and obtained the following Microsoft Excel output:
SUMMARY OUTPUT
Regression Statistics
ANOVA
Referring to Table 17-3, the predicted salary for a 35-year-old person with 10 years of
experience, 3 degrees, and 1 previous job is ________.
TABLE 17-9
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 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 determination ( ) of each of the 5
predictors are, respectively, 0.0380, 0.4376, 0.0248, 0.0188, and 0.0312.
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 17-9, what is the value of the test statistic to determine whether SUV
makes a significant contribution to the regression model in the presence of the other
independent variables at a 5% level of significance?