Example 16.6 Refer to Example 16.3 where r = 0.84 and n = 6. Determine whether there is significant association between advertising expenditure and sales revenue.

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Table 16.3
Calculation of Correlation Coefficient
x²
Y
y?
XY
25
625
16
256
400
18
324
11
121
198
32
1024
20
400
640
21
441
15
225
315
35
1225
26
676
910
29
841
28
784
812
EX = 160
ΣΧ4480
ΣΥ-116
EY? = 2462
ΣΧΥ-3275
%3D
Transcribed Image Text:Table 16.3 Calculation of Correlation Coefficient x² Y y? XY 25 625 16 256 400 18 324 11 121 198 32 1024 20 400 640 21 441 15 225 315 35 1225 26 676 910 29 841 28 784 812 EX = 160 ΣΧ4480 ΣΥ-116 EY? = 2462 ΣΧΥ-3275 %3D
Example 16.6 Refer to Example 16.3 where r = 0.84 and n = 6. Determine whether there is significant
association between advertising expenditure and sales revenue.
Transcribed Image Text:Example 16.6 Refer to Example 16.3 where r = 0.84 and n = 6. Determine whether there is significant association between advertising expenditure and sales revenue.
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