A cake shop produces different kinds of cakes a day. The number of cakes produced (x) is throughout to be linearly related to the sales (y) amount of that particular day. The data were collected on 15 successive days in Table 10. The Q-Q plot for the sales (y) is shown in Figure 10. Day 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Table 10 Number of cakes produced (x) 901 913 916 917 919 920 922 924 929 931 932 933 936 940 946 Sales ($) (y) 3750 4150 4950 5400 5500 6000 6100 680 7250 7350 7950 8400 8750 9050 10150

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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(b)
(c)
Construct the ANOVA table.
Test whether the number of cakes produced has any effect on sales based on the F-test at the
5% level of significance. State the hypotheses, decision rule and conclusion.
Transcribed Image Text:(b) (c) Construct the ANOVA table. Test whether the number of cakes produced has any effect on sales based on the F-test at the 5% level of significance. State the hypotheses, decision rule and conclusion.
A cake shop produces different kinds of cakes a day. The number of cakes produced (x) is
throughout to be linearly related to the sales (y) amount of that particular day. The data were
collected on 15 successive days in Table 10. The Q-Q plot for the sales (y) is shown in Figure 10.
Day
1
2
3
4
5
6
7
8
9
10
INTEL
11
12
13
14
15
15
Table 10
Number of cakes produced (x)
901
913
916
917
919
920
922
924
929
931
932
933
936
940
946
Sales ($) (v)
3750
4150
4950
5400
5500
6000
6100
6800
7250
7350
7950
8400
8750
9050
10150
Transcribed Image Text:A cake shop produces different kinds of cakes a day. The number of cakes produced (x) is throughout to be linearly related to the sales (y) amount of that particular day. The data were collected on 15 successive days in Table 10. The Q-Q plot for the sales (y) is shown in Figure 10. Day 1 2 3 4 5 6 7 8 9 10 INTEL 11 12 13 14 15 15 Table 10 Number of cakes produced (x) 901 913 916 917 919 920 922 924 929 931 932 933 936 940 946 Sales ($) (v) 3750 4150 4950 5400 5500 6000 6100 6800 7250 7350 7950 8400 8750 9050 10150
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