Question 3 You have been given a sample data set related to sales revenue and advertising expenditure in Dian packaging (Note: Data set is same as in Q2). Sales Revenue ($ 000) Advertising expenditure ($ 000) 35 7 37 8 45 10 47 12 51 12 55 11 60 15 72 16 75 18 74 20 Use the above data to answer the questions given below; i. Derive a simple regression equation to show the impact of advertising expenditu e on company sales revenue (round off the coefficient value to 2 decimals). 1. ANSWER i): ii. Interpret the intercept and slope coefficients in your regression equation ( ANSWER ii):

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Author:Amos Gilat
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Question 3
You have been given a sample data set related to sales revenue and advertising expenditure in Dian
packaging (Note: Data set is same as in Q2).
Sales Revenue ($ 000) Advertising expenditure ($ 000)
35
7
37
8
45
10
47
12
51
12
55
11
60
15
72
16
75
18
74
20
Use the above data to answer the questions given below;
i. Derive a simple regression equation to show the impact of advertising expenditu e on
company sales revenue (round off the coefficient value to 2 decimals). 1.
ANSWER i):
ii. Interpret the intercept and slope coefficients in your regression equation (
iii. Predict the sales revenue if company increase their adverting expenditure up to $ 28,000.
ANSWER ii):
ANSWER iii):
Transcribed Image Text:Question 3 You have been given a sample data set related to sales revenue and advertising expenditure in Dian packaging (Note: Data set is same as in Q2). Sales Revenue ($ 000) Advertising expenditure ($ 000) 35 7 37 8 45 10 47 12 51 12 55 11 60 15 72 16 75 18 74 20 Use the above data to answer the questions given below; i. Derive a simple regression equation to show the impact of advertising expenditu e on company sales revenue (round off the coefficient value to 2 decimals). 1. ANSWER i): ii. Interpret the intercept and slope coefficients in your regression equation ( iii. Predict the sales revenue if company increase their adverting expenditure up to $ 28,000. ANSWER ii): ANSWER iii):
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