Question

The following data are the monthly salaries *y* and the
grade point averages *x* for students who obtained a
bachelor's degree in business administration.

GPA |
Monthly Salary
($) |

2.6 | 3600 |

3.4 | 3900 |

3.6 | 4300 |

3.2 | 3800 |

3.5 | 4200 |

2.9 | 3900 |

The estimated regression equation for these data is =
2090.5 + 581.1*x* and MSE = 21,284.

Round your answer to two decimal places.

**a.** Develop a point estimate of the starting
salary for a student with a GPA of 3.0 (to 1 decimal).

$

**b.** Develop a 95% confidence interval for the
mean starting salary for all students with a 3.0 GPA (to 2
decimals).

$ ( , )

**c.** Develop a 95% prediction interval for Ryan
Dailey, a student with a GPA of 3.0 (to 2 decimals).

$ ( , )

Answer #1

**a.** Develop a point estimate of the starting
salary for a student with a GPA of 3.0 (to 1 decimal).

= 2090.5 + 581.1**3 = 3833.8*

$

**b.** Develop a 95% confidence interval for the
mean starting salary for all students with a 3.0 GPA (to 2
decimals).

predict(model, data.frame(x=3) ,interval = "confidence")

fit lwr
upr

1 3833.784 3643.485 4024.082

**(3643.49,4024,08)**

**c.** Develop a 95% prediction interval for Ryan
Dailey, a student with a GPA of 3.0 (to 2 decimals).

predict(model, data.frame(x=3) ,interval = "prediction")

fit lwr
upr

1 3833.784 3386.254 4281.313

**=(3386.25,4281.31)**

The following data are the monthly salaries y and the
grade point averages x for students who obtained a
bachelor's degree in business administration.
GPA
Monthly Salary ($)
2.6
3,500
3.5
3,900
3.6
4,200
3.1
3,700
3.5
4,100
2.9
2,500
The estimated regression equation for these data is =
210 + 1,075x and MSE =247,625.
a. Develop a point estimate of the starting
salary for a student with a GPA of 3.0 (to 1 decimal).
$
b. Develop a 95% confidence...

The following data are the monthly salaries y and the grade
point averages x for students who obtained a bachelor's degree in
business administration. GPA Monthly Salary ($) 2.7 3,600 3.4 3,800
3.7 4,200 3.1 3,800 3.5 4,200 2.8 2,300 The estimated regression
equation for these data is = -430 + 1,275x and MSE =293,625. a.
Develop a point estimate of the starting salary for a student with
a GPA of 3.0 (to 1 decimal). $ b. Develop a 95%...

The following data are the monthly salaries y and the
grade point averages x for students who obtained a
bachelor's degree in business administration.
GPA
Monthly Salary ($)
2.7
3,600
3.5
3,800
3.7
4,200
3.2
3,700
3.4
4,200
2.7
2,400
The estimated regression equation for these data is = -277.3 +
1,227.3x and MSE =217,386.
a. Develop a point estimate of the starting
salary for a student with a GPA of 3.0 (to 1 decimal).
$
b. Develop a 95%...

The following data are the monthly salaries y and the grade
point averages x for students who obtained a bachelor's degree in
business administration. GPA Monthly Salary ($) 2.7 3,500 3.5 3,900
3.7 4,200 3.2 3,700 3.4 4,200 2.7 2,400 The estimated regression
equation for these data is ŷ = -568.2 + 1,318.2x and MSE =181,477.
a. Develop a point estimate of the starting salary for a student
with a GPA of 3.0 (to 1 decimal). $ b. Develop a...

The following data are
the monthly salaries y and the grade point averages
x for students who obtained a bachelor's degree in
business administration.
GPA
Monthly Salary
($)
2.6
3,500
3.4
3,900
3.6
4,200
3.1
3,800
3.5
4,200
3
2,300
The estimated
regression equation for these data is ŷ = 84.3 + 1,114.3x
and MSE =416,464.
a.
Develop a point estimate of the starting salary for a student with
a GPA of 3.0 (to 1 decimal).
$
b.
Develop a...

-------------How would part b and c be calculated in
excel ? --------------
The following data are the monthly salaries y and the
grade point averages x for students who obtained a
bachelor's degree in business administration.
GPA
Monthly Salary ($)
2.6
3,500
3.4
3,800
3.6
4,300
3.1
3,700
3.5
4,100
3
2,500
The estimated regression equation for these data is ŷ = 267.1 +
1,057.1x and MSE =303,179.
a. Develop a point estimate of the starting
salary for a student...

The following data are the monthly salaries y and the grade
point average for students who obtained a bachelor's degree in
business administration with a major in information systems
GPA
2.6
3.4
3.6
3.2
3.5
Monthly salary
3300
3600
4000
3500
3900
3600
Question
1 What is estimate of b1 equal to?
a) 351.1
b) 581.1
c) 842.5
d) 15.8
2) What is estimate of bo equal to?
a) 1290.5
b) 1790.5
c) 1415.8
d) 1612.8
3) What is...

The following data
provide the starting salary for students who recently graduated
from a local university and accepted jobs soon after graduation.
The starting salary, grade-point average (GPA), and major (business
or other) are provided.
SALARY
$29,500
$46,000
$39,800
$36,500
GPA
3.1
3.5
3.8
2.9
Major
Other
Business
Business
Other
SALARY
$42,000
$31,500
$36,200
GPA
3.4
2.1
2.5
Major
Business
Other
Business
Using a computer, develop a regression model that could be used
to predict starting salary based on GPA...

The grade point averages (GPA) for 12 randomly selected college
students are shown on the right. Complete parts (a) through (c)
below. Assume the population is normally distributed.
2.3 3.4 2.8 1.8 0.9 4.0 2.5 1.1 3.8 0.5 2.2 3.2
(a) Find the sample mean. x overbarequals =
(Round to two decimal places as needed.)
(b) Find the sample standard deviation. sequals =
(Round to two decimal places as needed.)
(c) Construct a 95% confidence interval for the population
mean...

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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