onsider the ff. data set, in which a maker of asphalt shin rticular year and factors that influence sales. Y-sales(in 3- competing brands; X4- potential ble 3.5 Y X1 X2 X3 X4 291.9 9 56 5 10 160 4 42 8 4 230 4 70 15

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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For item 1 to 5, referring to Table 3.5.
Consider the ff. data set, in which a maker of asphalt shingles is interested in the relationship between sales for a
particular year and factors that influence sales. Y-sales(in thou $); X1- promotional accounts; X2- active accounts;
X3- competing brands; X4- potential
Table 3.5
Y
X1 X2 X3
X4
291.9 9 56 5 10
160 4 42 8
4
339.4 6.5 73 5
16
159.6 5.5 60
7
86.3 5 44
12
237.5 6 50
6
107.2 5
39 10 4
Describe the relationship between sales and competing brands.
no correlation
moderate negative correlation
moderate positive correlation
high positive correlation
Ohign negative relationship
ܨ
6726
11
12
Transcribed Image Text:For item 1 to 5, referring to Table 3.5. Consider the ff. data set, in which a maker of asphalt shingles is interested in the relationship between sales for a particular year and factors that influence sales. Y-sales(in thou $); X1- promotional accounts; X2- active accounts; X3- competing brands; X4- potential Table 3.5 Y X1 X2 X3 X4 291.9 9 56 5 10 160 4 42 8 4 339.4 6.5 73 5 16 159.6 5.5 60 7 86.3 5 44 12 237.5 6 50 6 107.2 5 39 10 4 Describe the relationship between sales and competing brands. no correlation moderate negative correlation moderate positive correlation high positive correlation Ohign negative relationship ܨ 6726 11 12
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