What is the Prediction Interval (1 decimal)? Lower value:  Upper value:  The Confidence Interval will be __________ (wider or narrower) than the Prediction Interval. Which interval is the appropriate one to use when estimating the average starting salary for students with a 6.8 GPA?  Confidence Interval Prediction Interval

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 2E
icon
Related questions
Topic Video
Question

What is the Prediction Interval (1 decimal)?

Lower value: 

Upper value: 

The Confidence Interval will be __________ (wider or narrower) than the Prediction Interval.

Which interval is the appropriate one to use when estimating the average starting salary for students with a 6.8 GPA? 
Confidence Interval
Prediction Interval
Student GPA
starting salaries
4.5
48094
5.8
42400
6.1
50987
5.5
40598
4.7
53500
4.1
36184
3.9
32115
6.5
51250
5.6
45155
4.8
37108
3.5
34540
4.05
39250
starting salaries
4.5
41500
7.5
60230
90000
7.4
58750
80000
6.2
52900
70000
y = 6971.4x + 10599
R = 0.8196
7.8
58700
60000
4.5
40135
50000
8.8
70214
starting salaries
40000
8.5
73065
-Linear (starting salaries )
8.7
68952
30000
3.5
38786
20000
2.5
39102
10000
7.5
71020
8.1
75401
2.
6.
10
8.3
81203
เก่ เก่
-00 00 oc
Transcribed Image Text:Student GPA starting salaries 4.5 48094 5.8 42400 6.1 50987 5.5 40598 4.7 53500 4.1 36184 3.9 32115 6.5 51250 5.6 45155 4.8 37108 3.5 34540 4.05 39250 starting salaries 4.5 41500 7.5 60230 90000 7.4 58750 80000 6.2 52900 70000 y = 6971.4x + 10599 R = 0.8196 7.8 58700 60000 4.5 40135 50000 8.8 70214 starting salaries 40000 8.5 73065 -Linear (starting salaries ) 8.7 68952 30000 3.5 38786 20000 2.5 39102 10000 7.5 71020 8.1 75401 2. 6. 10 8.3 81203 เก่ เก่ -00 00 oc
OFF A A E S
a S1 - AC - GPA data solution
AutoSave
Insert
Draw
Page Layout
Formulas
Data
Review
View
Q Tell me
O Comments
Home
2 Share
Σ.
“江"。.
Calibri (Body)
v A A
= =
ab wrap Text v
A Insert v
11
General
EX Delete v
4 v A v
Sensitivity
Paste
E Merge & Center v
$ v % 9
.00
.00 →0
Conditional Format
Formatting as Table Styles
Cell
Sort &
Filter
Find &
Select
BIUV
+= +=
Ideas
H Format v
Open recovered workbooks? Your recent changes were saved. Do you want to continue working where you left off?
Yes
No
E12
fx
A
D
E
G
H
K
L
N
P
S
V
X
Y
1
Student GPA
starting salaries
2
4.5
48094
5.8
42400
4
6.1
50987
5.5
40598
6.
4.7
53500
7
4.1
36184
8
3.9
32115
9
6.5
51250
10
5.6
45155
11
4.8
37108
12
3.5
34540
13
4.05
39250
starting salaries
14
4.5
41500
15
7.5
60230
90000
16
7.4
58750
80000
17
6.2
52900
70000
y = 6971.4x + 10599
R = 0.8196
18
7.8
58700
60000
19
4.5
40135
50000
20
8.8
70214
• starting salaries
40000
21
8.5
73065
-Linear (starting salaries )
22
8.7
68952
30000
23
3.5
38786
20000
24
2.5
39102
10000
25
7.5
71020
26
8.1
75401
2
4
6
8
10
27
8.3
81203
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
data
regression
Sheet2
Sheet3
囲
100%
Transcribed Image Text:OFF A A E S a S1 - AC - GPA data solution AutoSave Insert Draw Page Layout Formulas Data Review View Q Tell me O Comments Home 2 Share Σ. “江"。. Calibri (Body) v A A = = ab wrap Text v A Insert v 11 General EX Delete v 4 v A v Sensitivity Paste E Merge & Center v $ v % 9 .00 .00 →0 Conditional Format Formatting as Table Styles Cell Sort & Filter Find & Select BIUV += += Ideas H Format v Open recovered workbooks? Your recent changes were saved. Do you want to continue working where you left off? Yes No E12 fx A D E G H K L N P S V X Y 1 Student GPA starting salaries 2 4.5 48094 5.8 42400 4 6.1 50987 5.5 40598 6. 4.7 53500 7 4.1 36184 8 3.9 32115 9 6.5 51250 10 5.6 45155 11 4.8 37108 12 3.5 34540 13 4.05 39250 starting salaries 14 4.5 41500 15 7.5 60230 90000 16 7.4 58750 80000 17 6.2 52900 70000 y = 6971.4x + 10599 R = 0.8196 18 7.8 58700 60000 19 4.5 40135 50000 20 8.8 70214 • starting salaries 40000 21 8.5 73065 -Linear (starting salaries ) 22 8.7 68952 30000 23 3.5 38786 20000 24 2.5 39102 10000 25 7.5 71020 26 8.1 75401 2 4 6 8 10 27 8.3 81203 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 data regression Sheet2 Sheet3 囲 100%
Expert Solution
steps

Step by step

Solved in 5 steps with 13 images

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Means
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Holt Mcdougal Larson Pre-algebra: Student Edition…
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL