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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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
|
|

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
X=45
Step by step
Solved in 3 steps

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