eed immediate help with ITIS Homework with excel, plz upload screenshots from excel thank you. Dataset is below: Sales Location Direc

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I need immediate help with ITIS Homework with excel, plz upload screenshots from excel thank you.

Dataset is below:

Sales Location Direct Radio Newspaper Television
15.98 QC 0.56 0.60 1.35 1.55
15.98 ON 0.69 0.56 1.01 1.13
16.02 AB 0.42 0.55 1.73 1.73
16.04 QC 0.63 0.50 1.01 1.46
16.34 QC 0.68 0.55 1.44 2.05
16.51 ON 0.73 0.57 1.19 1.93
16.58 QC 0.64 0.60 1.71 1.61
16.62 ON 0.57 0.59 1.35 1.61
16.69 QC 0.58 0.71 2.19 1.18
16.95 ON 0.44 0.79 1.92 1.92
16.98 AB 0.56 0.93 1.42 1.57
17.03 ON 0.80 0.80 2.02 1.81
17.08 AB 0.42 0.71 1.08 2.13
17.40 AB 0.95 0.74 1.82 1.37
17.49 QC 0.54 0.92 1.62 1.97
17.68 AB 0.27 0.83 2.04 1.33
17.84 QC 0.50 0.79 2.11 1.84
17.88 AB 0.66 0.92 1.14 1.67
18.32 AB 0.81 0.84 1.75 1.44
18.42 QC 0.92 0.94 1.47 2.05
18.50 QC 0.75 0.70 1.87 1.89
18.86 ON 0.41 0.72 1.98 1.63
18.91 AB 0.43 0.76 1.68 1.66
18.96 AB 0.55 0.64 1.17 1.77
19.52 ON 0.67 0.57 1.81 1.63
19.80 AB 0.98 0.74 2.26 1.54
19.83 QC 0.59 0.67 1.72 1.42
19.97 AB 0.54 0.93 2.25 1.93
20.01 QC 0.31 0.78 1.15 2.15
20.09 AB 0.47 0.65 1.72 1.59
20.10 ON 0.75 0.64 1.61 1.82
20.38 QC 0.35 0.50 1.15 1.45
20.57 ON 0.52 0.67 2.31 1.77
20.77 AB 0.84 0.79 1.98 1.51
21.59 QC 0.72 0.92 2.25 1.97
21.62 QC 0.28 0.58 1.31 1.74
21.71 ON 0.51 0.99 1.02 1.71
21.99 AB 0.85 0.58 1.94 2.28
22.10 QC 0.30 0.85 1.07 1.80
22.12 AB 0.57 0.85 1.64 1.69
22.53 ON 0.32 0.92 2.20 1.61
22.54 AB 0.28 0.91 1.07 2.21
22.67 AB 0.56 0.92 1.26 1.15
22.79 QC 0.69 0.95 1.54 2.27
23.58 QC 0.62 1.10 1.88 2.15
23.87 QC 0.53 1.00 1.54 1.31
23.98 QC 0.93 1.03 1.77 1.13
24.64 ON 0.72 1.22 1.76 2.04
24.91 ON 0.25 1.20 1.25 1.15
25.47 AB 0.80 1.20 1.79 1.64
25.47 AB 0.44 1.25 2.31 2.28
1. Multiple Regression
Dataset: XR25-16A
A marketing manager for a chain of hardware stores needed more information
about the effectiveness of the four types of advertising that the chain used. The four
advertising types are direct mailing, newspaper advertising, radio advertising, and
television commercials. Data in the file XR25-16A contains the weekly gross sales,
and advertising expenditures for the four types of advertising. All values are in
thousands of dollars.
1) Use Excel formula to create dummy variable(s) for Location.
2) Construct a multiple regression model with Excel Data Analysis add-on to
predict Sales with all useful independent variables.
3)What is the regression function? If Location is ON, Direct =1, Radio=1,
Newspaper=1, and Television=1, what is the predicted sales based on the model
created?
4) Should any of the independent variables be removed from the model? Explain
your answer.
5) Explain R2 in the model.
Transcribed Image Text:1. Multiple Regression Dataset: XR25-16A A marketing manager for a chain of hardware stores needed more information about the effectiveness of the four types of advertising that the chain used. The four advertising types are direct mailing, newspaper advertising, radio advertising, and television commercials. Data in the file XR25-16A contains the weekly gross sales, and advertising expenditures for the four types of advertising. All values are in thousands of dollars. 1) Use Excel formula to create dummy variable(s) for Location. 2) Construct a multiple regression model with Excel Data Analysis add-on to predict Sales with all useful independent variables. 3)What is the regression function? If Location is ON, Direct =1, Radio=1, Newspaper=1, and Television=1, what is the predicted sales based on the model created? 4) Should any of the independent variables be removed from the model? Explain your answer. 5) Explain R2 in the model.
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