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Part A + 95% Confidence Interval + 95% Prediction Interval    Project Billed Consulting Hours   Total Project Cost   1   3,926 ​$4,325,406   2   3,085 ​$3,752,220   3   2,962 ​$3,579,653   4   3,980 ​$5,056,272   5   4,885 ​$5,523,832   6   5,129 ​$5,631,246   7   3,999 ​$5,251,686   8   4,282 ​$5,683,804   9   3,156 ​$4,131,067   10   4,144 ​$4,594,998   11   2,567 ​$3,344,191   12   3,243 ​$3,862,799   13   3,855 ​$4,866,274   14   3,166 ​$4,041,249   15   3,916 ​$5,066,392   16   3,666 ​$5,167,689   17   4,233 ​$5,140,474   18   4,320 ​$5,197,450   19   2,841 ​$3,357,775   20   3,728 ​$

Part A + 95% Confidence Interval + 95% Prediction Interval    Project Billed Consulting Hours   Total Project Cost   1   3,926 ​$4,325,406   2   3,085 ​$3,752,220   3   2,962 ​$3,579,653   4   3,980 ​$5,056,272   5   4,885 ​$5,523,832   6   5,129 ​$5,631,246   7   3,999 ​$5,251,686   8   4,282 ​$5,683,804   9   3,156 ​$4,131,067   10   4,144 ​$4,594,998   11   2,567 ​$3,344,191   12   3,243 ​$3,862,799   13   3,855 ​$4,866,274   14   3,166 ​$4,041,249   15   3,916 ​$5,066,392   16   3,666 ​$5,167,689   17   4,233 ​$5,140,474   18   4,320 ​$5,197,450   19   2,841 ​$3,357,775   20   3,728 ​$

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question

Part A + 95% Confidence Interval + 95% Prediction Interval 

 

Project
Billed Consulting Hours
  
Total Project Cost
 
1
 
3,926
​$4,325,406
 
2
 
3,085
​$3,752,220
 
3
 
2,962
​$3,579,653
 
4
 
3,980
​$5,056,272
 
5
 
4,885
​$5,523,832
 
6
 
5,129
​$5,631,246
 
7
 
3,999
​$5,251,686
 
8
 
4,282
​$5,683,804
 
9
 
3,156
​$4,131,067
 
10
 
4,144
​$4,594,998
 
11
 
2,567
​$3,344,191
 
12
 
3,243
​$3,862,799
 
13
 
3,855
​$4,866,274
 
14
 
3,166
​$4,041,249
 
15
 
3,916
​$5,066,392
 
16
 
3,666
​$5,167,689
 
17
 
4,233
​$5,140,474
 
18
 
4,320
​$5,197,450
 
19
 
2,841
​$3,357,775
 
20
 
3,728
​$4,742,631
 
A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer views as a predictor. For each of the 66 movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross (in millions of dollars) are collected and stored in the accompanying table. The simple linear regression equation for these data is \( \hat{Y}_i = -0.559 + 1.422X_i \). A movie, about to be released, has 45 million online trailer views. Complete parts (a) through (c) below. - Click the icon to view the data on online trailer views and opening weekend box office gross. a. What is the predicted weekend box office gross? \( Y_{X=45} = \$ \text{ } \square \text{ million} \) (Round to three decimal places as needed.)
Transcribed Image Text:A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer views as a predictor. For each of the 66 movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross (in millions of dollars) are collected and stored in the accompanying table. The simple linear regression equation for these data is \( \hat{Y}_i = -0.559 + 1.422X_i \). A movie, about to be released, has 45 million online trailer views. Complete parts (a) through (c) below. - Click the icon to view the data on online trailer views and opening weekend box office gross. a. What is the predicted weekend box office gross? \( Y_{X=45} = \$ \text{ } \square \text{ million} \) (Round to three decimal places as needed.)
Expert Solution
Step 1: Given information

Regression line

Yi^=−0.559+1.422Xi

X=45


steps

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