An agent for a real estate company in a suburb has the business objective of developing more accurate estimates of the monthly rental cost for apartments. The agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent collects data from a sample of 30 one-bedroom apartments. Complete parts (a) through (c). Click the icon to view the data table. a. Construct a 95% confidence interval estimate of the mean monthly rental for all one-bedroom apartments that are 786 square feet in size (Type integers or decimals. Round to two decimal places as needed. Use ascending order.) b. Construct a 95% prediction interval of the monthly rental for an individual one-bedroom apartment that is 786 square feet in size. (Type integers or decimals. Round to two decimal places as needed. Use ascending order.) c. Explain the differences in the results from (a) and (b). O A. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is wider than the confidence interval, holding everything else fixed. OB. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is narrower than the confidence interval, holding everything else fixed. OC. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is narrower than the prediction interval, holding everything else fixed. OD. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is wider than the prediction interval, holding everything else fixed.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
Apartment Size (sq feet)
Rent ($)
1
530
1114
2
622
1170
653
1176
4
824
1420
449
1195
6
544
1216
7
767
1489
8
826
1504
9
1070
1511
10
603
1668
11
832
1795
12
652
1637
13
598
1453
14
663
1403
15
747
1148
16
828
1144
17
899
1226
18
636
1424
19
648
1534
20
830
1099
21
807
1139
22
817
1248
23
933
1447
24
799
1164
25
777
1229
26
948
1381
27
764
1158
28
686
1093
29
842
1365
30
836
1536
Transcribed Image Text:Apartment Size (sq feet) Rent ($) 1 530 1114 2 622 1170 653 1176 4 824 1420 449 1195 6 544 1216 7 767 1489 8 826 1504 9 1070 1511 10 603 1668 11 832 1795 12 652 1637 13 598 1453 14 663 1403 15 747 1148 16 828 1144 17 899 1226 18 636 1424 19 648 1534 20 830 1099 21 807 1139 22 817 1248 23 933 1447 24 799 1164 25 777 1229 26 948 1381 27 764 1158 28 686 1093 29 842 1365 30 836 1536
An agent for a real estate company in a suburb has the business objective of developing more accurate estimates of the monthly rental cost for apartments. The agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent
collects data from a sample of 30 one-bedroom apartments. Complete parts (a) through (c).
Click the icon to view the data table.
.....
a. Construct a 95% confidence interval estimate of the mean monthly rental for all one-bedroom apartments that are 786 square feet in size.
= 786
(Type integers or decimals. Round to two decimal places as needed. Use ascending order.)
b. Construct a 95% prediction interval of the monthly rental for an individual one-bedroom apartment that is 786 square feet in size.
sYx=78
(Type integers or decimals. Round to two decimal places as needed. Use ascending order.)
c. Explain the differences in the results from (a) and (b).
A. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is wider than the confidence interval, holding everything else fixed.
B. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is narrower than the confidence interval, holding everything else fixed.
C. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is narrower than the prediction interval, holding everything else fixed.
D. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is wider than the prediction interval, holding everything else fixed.
Transcribed Image Text:An agent for a real estate company in a suburb has the business objective of developing more accurate estimates of the monthly rental cost for apartments. The agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent collects data from a sample of 30 one-bedroom apartments. Complete parts (a) through (c). Click the icon to view the data table. ..... a. Construct a 95% confidence interval estimate of the mean monthly rental for all one-bedroom apartments that are 786 square feet in size. = 786 (Type integers or decimals. Round to two decimal places as needed. Use ascending order.) b. Construct a 95% prediction interval of the monthly rental for an individual one-bedroom apartment that is 786 square feet in size. sYx=78 (Type integers or decimals. Round to two decimal places as needed. Use ascending order.) c. Explain the differences in the results from (a) and (b). A. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is wider than the confidence interval, holding everything else fixed. B. Since there is more variation in predicting an individual value than in estimating a mean value, the prediction interval is narrower than the confidence interval, holding everything else fixed. C. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is narrower than the prediction interval, holding everything else fixed. D. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is wider than the prediction interval, holding everything else fixed.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 6 steps with 4 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman