Question

Consider the following estimated multiple regression model relating GPA to the number of classes attended and the final exam score in a particular class, and if the student is a freshman (=1 if freshman, =0 otherwise). GPA = -0.3507+0.1096(Attendance) + 0.1697(Exam Score) -0.1380(Freshman) Suppose two students, one a junior and one a freshman, attended the same number of classes and both got a score of 88 on the final exam. What would be the expected difference in the GPa for the two students? Round your answer to four (4) decimal places.

Answer #1

A business statistics professor would like to develop a
regression model to predict the final exam scores for students
based on their current GPAs, the number of hours they studied for
the exam, the number of times they were absent during the semester,
and their genders. The data for these variables are given in the
accompanying table. Complete parts a through d below.
Score GPA Hours
Absences Gender
87 3.75 2.0 0
Female
77 3.20 4.5 3
Male
82 3.16 ...

Consider the following estimated regression model relating
annual salary to years of education and work experience.
Estimated
Salary=11,756.80+2723.3(Education)+1092.64(Experience)
Suppose an employee with 11 years of education has been with the
company for 2 years (note that education years are the number of
years after 8th grade). According to this model, what is
his estimated annual salary?

Consider the following estimated regression model relating
annual salary to years of education and work experience. Estimated
Salary=10,815.11+2563.46(Education)+897.49(Experience) . Suppose
two employees at the company have been working there for five
years. One has a bachelor's degree (8 years of education) and one
has a master's degree (10 years of education). How much more money
would we expect the employee with a master's degree to make?

Multiple regression model
Consider a dataset for 500 students living in Melbourne with the
following variables measured in 2019 --- expenditure on public
transport, ?E, measured in dollars; number of days he/she attended
school, ?S; number of days not attended school, ??NS (which is
equal to 365−?365−S); income, ?I, measured in dollars; and age in
year, ?A. A researcher is interested in estimating the following
model using Eviews:
??=?1+?2??+?3???+?4??+?5??+??Ei=β1+β2Si+β3NSi+β4Ii+β5Ai+ei. Without
any further information, we know for sure that one assumption...

A trucking company considered a multiple regression model for
relating the dependent variable of total daily travel time for one
of its drivers (hours) to the predictors distance traveled (miles)
and the number of deliveries of made. After taking a random sample,
a multiple regression was performed and the equation is (time) =
0.04*(distance) + 0.996*(deliveries) - 1.55. Suppose for a given
driver's day, he is scheduled to drive 284 miles and make 6 stops.
Suppose it took him 10.388...

The accompanying data represent the number of days absent, x,
and the final exam score, y, for a sample of college students in a
general education course at a large state university. Complete
parts (a) through (e) below.
Absences and Final Exam Scores
No. of absences, x
0
1
2
3
4
5
6
7
8
9
Final exam score, y
89.6
87.3
83.4
81.2
78.7
74.3
64.5
71.1
66.4
65.6
Critical Values for Correlation Coefficient
n
3
0.997
4...

We have developed a multiple regression model to predict the
number of volunteers for a monthly charity event. One of the
independent variables is Rain: a binary variable equal to 1 if it
rains on the day of the event, and 0 otherwise. In the regression
output, the coefficient for Rain is -22. What does that coefficient
mean, precisely, with regard to the model’s predictions?

The table below gives the number of parking tickets received in
one semester and the GPA for five randomly selected college
students who drive to campus. Using this data, consider the
equation of the regression line, yˆ=b0+b1x, for predicting the GPA
of a college student who drives to campus based on the number of
parking tickets they receive in one semester. Keep in mind, the
correlation coefficient may or may not be statistically significant
for the data given. Remember, in...

Does college grade point average (GPA) depend on gender? Does it
depend on class (freshman, sophomore, junior, senior)? In a study,
the following GPA data were obtained for random samples of college
students in each of the cells.
Class
Gender
Freshman
Sophomore
Junior
Senior
Male
2.8 2.1
2.7 3.0
2.5 2.3
2.9 3.5
3.1 2.9
3.2 3.8
3.8 3.6
3.5 3.1
Female
2.3 2.9
3.5 3.9
2.6 2.4
3.3...

2. A university placement director is interested in the effect GPA
and the number of activities listed on the resume might have on the
starting salaries of this year's graduation class. He has selected
the data shown in cells S3 to U12 on the answers sheet for a sample
of 12 graduates. Using these data,
a.
determine the multiple regression equation for starting
salaries
b. compute
the estimated starting salary of Dave, a student with a 3.6 GPA and
3...

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