A researcher collected statistics on the sales amount of a product in 120 different markets and the advertising budgets used in TV, radio and newspaper media channels for each of these markets. The sales amount are expressed in 1000 units, and the budgets are expressed in 1000$. The researcher wants to create a simple linear regression model by choosing one among the TV, radio and newspaper advertising budgets to explain the amount of sales. Accordingly, answer the following question by using the data in the "Regression Data Set" document in the appendix. 1) a) In your opinion, which variable should this researcher choose as a

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A researcher collected statistics on the sales amount of a product in 120 different markets and the advertising budgets used in TV, radio and newspaper media channels for each of these markets. The sales amount are expressed in 1000 units, and the budgets are expressed in 1000$. The researcher wants to create a simple linear regression model by choosing one among the TV, radio and newspaper advertising budgets to explain the amount of sales. Accordingly, answer the following question by using the data in the "Regression Data Set" document in the appendix.

1) a) In your opinion, which variable should this researcher choose as an independent variable to the simple regression model? Explain your decision by providing its statistical basis.

Regression Data Set
TV Budget
(1000$)
Radio Budget
(1000$)
Observation
Newspaper
Sales Amount
Number
Budget (1000$)
(1000 units)
7,3
28,1
41,4
5,5
136,2
19,2
16,6
13,2
3
210,8
49,6
37,7
23,8
9,3
21,4
210,7
29,5
18,4
53,5
2
8,1
261,3
42,7
54,7
24,2
7
239,3
15,5
27,3
15,7
8.
102,7
29,6
42,8
9,3
8,4
14
131,1
28,9
18
10
69
0,9
9,3
Transcribed Image Text:Regression Data Set TV Budget (1000$) Radio Budget (1000$) Observation Newspaper Sales Amount Number Budget (1000$) (1000 units) 7,3 28,1 41,4 5,5 136,2 19,2 16,6 13,2 3 210,8 49,6 37,7 23,8 9,3 21,4 210,7 29,5 18,4 53,5 2 8,1 261,3 42,7 54,7 24,2 7 239,3 15,5 27,3 15,7 8. 102,7 29,6 42,8 9,3 8,4 14 131,1 28,9 18 10 69 0,9 9,3
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