The answer to each of the following questions will be one of the points labeled A-H on the scatterplot. (i) Of the sales that received lower-than-predicted tips, which one had the lowest sale amount?                             [ Select ]                          ["D", "E", "A", "B", "F", "H", "G", "C"]            (ii) Which sale received the best tip, that is, which sale had the tip that was highest above the tip predicted for it?                             [ Select ]                          ["A", "B", "D", "E", "C", "G", "H", "F"]            (iii) Which data point has the smallest residual?                             [ Select ]                          ["A", "C", "F", "H", "D", "G", "B", "E"]            (iv) Of E and F, the model makes a better prediction for                             [ Select ]                          ["E", "F"]

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 14PPS
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The answer to each of the following questions will be one of the points labeled A-H on the scatterplot.

(i) Of the sales that received lower-than-predicted tips, which one had the lowest sale amount?                             [ Select ]                          ["D", "E", "A", "B", "F", "H", "G", "C"]           

(ii) Which sale received the best tip, that is, which sale had the tip that was highest above the tip predicted for it?                             [ Select ]                          ["A", "B", "D", "E", "C", "G", "H", "F"]           

(iii) Which data point has the smallest residual?                             [ Select ]                          ["A", "C", "F", "H", "D", "G", "B", "E"]           

(iv) Of E and F, the model makes a better prediction for                             [ Select ]                          ["E", "F"]            .

ANOVA
df
SS
MS
F
Significance F
Regression
1
24360.81754
24360.81754
29.50102381
1.15405E-06
Residual
58
47894.18246
825.7617666
Total
59
72255
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
56.95659334
12.27319518
4.640730674
2.02919E-05
32.38912416
81.52406252
Sale Amount
0.126993685
0.023381027
5.431484494
1.15405E-06
0.080191475
0.173795894
© 2020 Radha Bose Florida State University Department of Statistics
Transcribed Image Text:ANOVA df SS MS F Significance F Regression 1 24360.81754 24360.81754 29.50102381 1.15405E-06 Residual 58 47894.18246 825.7617666 Total 59 72255 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 56.95659334 12.27319518 4.640730674 2.02919E-05 32.38912416 81.52406252 Sale Amount 0.126993685 0.023381027 5.431484494 1.15405E-06 0.080191475 0.173795894 © 2020 Radha Bose Florida State University Department of Statistics
The graph and the Excel summary output below are about the weekend sales
and tips at a certain Sonny's restaurant in Tallahassee, FL. Use them to
answer the SONNY'S questions that follow.
The data was gathered by Sonny's employee Joshua Gonzalez for his group project in my
Summer 2007 STA 2122 class.
SLRI SONNY'S SCATTERPLOT
250
225
H
200
175
•C
150
E
125
100
*F
75
50
A
25
100
200
300
400
500
600
700
800
900
1000
1100
1200
SALE AMOUNT ($)
© 2020 Radha Bose Florida State University Department of Statistics
SUMMARY OUTPUT
SONNY'S
Regression Statistics
Multiple R
0.58064672
R Square
0.337150613
Adjusted R Square
0.325722175
Standard Error
28.73607083
Observations
60
($) dIL
Transcribed Image Text:The graph and the Excel summary output below are about the weekend sales and tips at a certain Sonny's restaurant in Tallahassee, FL. Use them to answer the SONNY'S questions that follow. The data was gathered by Sonny's employee Joshua Gonzalez for his group project in my Summer 2007 STA 2122 class. SLRI SONNY'S SCATTERPLOT 250 225 H 200 175 •C 150 E 125 100 *F 75 50 A 25 100 200 300 400 500 600 700 800 900 1000 1100 1200 SALE AMOUNT ($) © 2020 Radha Bose Florida State University Department of Statistics SUMMARY OUTPUT SONNY'S Regression Statistics Multiple R 0.58064672 R Square 0.337150613 Adjusted R Square 0.325722175 Standard Error 28.73607083 Observations 60 ($) dIL
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