grade-point averages (GPAS) after students were in the Sante Fe each student scored on the high school SAT math exam and their Sante Fe College 2 years ago. The following table indicates what and coefficient of deposi on in this determination? Px •• 4.53 Thirteen students entered the business. program at Heat udelman, ubmitting a business ted from le regres- E days on a) What is the equa b) Find the coefficie c) What is the stand program for 2 years: STUDENT A F G. 421 377 585 690 608 390 SAT SCORE 415 The acC 2.90 2.93 3.00 3.45 3.66 2.88 GPA

Practical Management Science
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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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Please help solve 4.54 a & b. Thanks

4.
deposits
revealed the following
on in this
determination? Px
t and
icient of
4.53
udelman,
ubmitting
a business
2.
tted from
program for 2 years:
-le regres-
days on
a) What is the equar
b) Find the coefficie
c) What is the stanc
STUDENT
A
B.
377
C.
585
E.
069
608
D.
SAT SCORE
421
GPA
2.93
3.45
415
STUDENT
The acc
H.
481
K
• 4.57
Inc., in Newark, De
to be tied to an inc
Weather Bureau. V
over the past 5 year
high. The accounta.
coal demand could
and then consultin
SAT SCORE
501
613
took her
GPA
2.53
3.22
99E
66
2.75
e should
a) Is there a meaningful relationship between SAT math score
5. What
and grades?
b) If a student scores a 350, what do you think his or her GPA
hy? PX
year's winter woule
least-squares regre
of the data. Also c
will be?
data on
c) What about a student who scores 800?
welidem
Dave Fletcher, the general manager of North
• (4.54
Carolina Engineering Corporation (NCEC), thinks that his firm's
engineering services contracted to highway construction firms are
directly related to the volume of highway construction business
contracted with companies in his geographic area. He wonders
if this is really so, and if it is, can this information help him plan
his operations better by forecasting the quantity of his engineer-
ing services required by construction firms in each quarter of the
year? The following table presents the sales of his services and
total amounts of contracts for highway construction over the past
to pe
1 2.3
COAL SALES NNM
WEATHER INDEX
7.
•• 4.58
Giver
develop a relation
number of games
collec-
YEARS
RAINY DAYS
1.
GAMES LOST
eight quarters:
regres-
QUARTER
1 2
3.
15
e and
5.
9
1.2 in
Sales of NCEC Services
(in $ thousands)
6.
12
13
12 16
Problems 4.59
8.
e rob-
• 4.59
Sal
ics store in Wa
in the table bel
Contracts Released
153 172 197 178 185 199 205 226
(in $ thousands)
ths in
per of
a) Using this data, develop a regression equation for predicting
the level of demand of NCEC's services.
owing
w of the estimate. Px
The following multiple regression model was devel-
Southweste
• 4.55
oped to predict job performance as measured by a company job
performance evaluation index based on a preemployment test
Score and çollege grade point average (GPA):
Southwester
Stephenyille
Transcribed Image Text:4. deposits revealed the following on in this determination? Px t and icient of 4.53 udelman, ubmitting a business 2. tted from program for 2 years: -le regres- days on a) What is the equar b) Find the coefficie c) What is the stanc STUDENT A B. 377 C. 585 E. 069 608 D. SAT SCORE 421 GPA 2.93 3.45 415 STUDENT The acc H. 481 K • 4.57 Inc., in Newark, De to be tied to an inc Weather Bureau. V over the past 5 year high. The accounta. coal demand could and then consultin SAT SCORE 501 613 took her GPA 2.53 3.22 99E 66 2.75 e should a) Is there a meaningful relationship between SAT math score 5. What and grades? b) If a student scores a 350, what do you think his or her GPA hy? PX year's winter woule least-squares regre of the data. Also c will be? data on c) What about a student who scores 800? welidem Dave Fletcher, the general manager of North • (4.54 Carolina Engineering Corporation (NCEC), thinks that his firm's engineering services contracted to highway construction firms are directly related to the volume of highway construction business contracted with companies in his geographic area. He wonders if this is really so, and if it is, can this information help him plan his operations better by forecasting the quantity of his engineer- ing services required by construction firms in each quarter of the year? The following table presents the sales of his services and total amounts of contracts for highway construction over the past to pe 1 2.3 COAL SALES NNM WEATHER INDEX 7. •• 4.58 Giver develop a relation number of games collec- YEARS RAINY DAYS 1. GAMES LOST eight quarters: regres- QUARTER 1 2 3. 15 e and 5. 9 1.2 in Sales of NCEC Services (in $ thousands) 6. 12 13 12 16 Problems 4.59 8. e rob- • 4.59 Sal ics store in Wa in the table bel Contracts Released 153 172 197 178 185 199 205 226 (in $ thousands) ths in per of a) Using this data, develop a regression equation for predicting the level of demand of NCEC's services. owing w of the estimate. Px The following multiple regression model was devel- Southweste • 4.55 oped to predict job performance as measured by a company job performance evaluation index based on a preemployment test Score and çollege grade point average (GPA): Southwester Stephenyille
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