Q: The dataset posted below lists a sample of months and the advertising budget (in hundreds of dollars) for TV, radio and newspaper advertisements. Also included is whether a coupon was published for...



Q:
The dataset posted below lists a sample of months and the advertising budget (in hundreds of dollars) for TV, radio and newspaper advertisements. Also included is whether a coupon was published for that month and the resulting sales (in thousands of dollars).


a) Develop a multiple regression model predicting the sales based off the four predictor variables: TV, radio, and newspaper advertising budget and whether a coupon is used.   Recode Coupon as 0 = No and 1 = Yes.   Report the estimated regression equation (Solve in Excel)












































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































TV ($100)radio ($100)newspaper ($100)Couponsales ($1000)
0.739.68.7No1.6
230.137.869.2No22.1
4.111.65.7Yes3.2
44.539.345.1No10.4
250.936.572.3No22.2
8.62.11No4.8
17.245.969.3Yes9.3
104.65.734.4No10.4
216.843.927.2Yes22.3
5.429.99.4No5.3
699.30.9No9.3
70.61640.8No10.5
151.541.358.5No18.5
195.447.752.9Yes22.4
13.10.425.6Yes5.3
76.40.814.8No9.4
156.62.68.3No10.5
180.810.858.4No12.9
248.827.122.9No18.9
216.441.739.6Yes22.6
7.328.141.4Yes5.5
8.748.975No7.2
95.71.47.4No9.5
199.82.621.2Yes10.6
206.98.426.4No12.9
237.427.511No18.9
20545.119.6Yes22.6
13.215.949.6No5.6
251129.7No7.2
31.524.62.2No9.5
89.79.935.7Yes10.6
57.532.823.5No11.8
88.325.573.4No12.9
204.132.946Yes19
239.941.518.5Yes23.2
8.427.22.1No5.7
28.61.533No7.3
25.6399.3No9.5
87.211.825.9No10.6
76.426.722.3No11.8
131.718.434.6No12.9
120.219.611.6No13.2
171.339.737.7Yes19
198.949.460Yes23.7
17.24.131.6No5.9
11.736.945.2Yes7.3
97.21.530No9.6
100.49.63.6No10.7
276.72.323.7No11.8
136.219.216.6No13.2
137.946.459Yes19.2
210.849.637.7Yes23.8
19.41622.3No6.6
19.620.117Yes7.6
4325.920.5No9.6
36.938.665.6No10.8
112.917.438.6No11.9
240.17.38.7No13.2
193.735.475.6Yes19.2
296.436.3100.9Yes23.8
7.838.950.6No6.6
38.23.713.8Yes7.6
97.57.67.2No9.7
39.541.15.8No10.8
117.214.75.4No11.9
85.735.849.3Yes13.3
217.733.559Yes19.4
261.342.754.7Yes24.2
18.712.123.4No6.7
17.937.621.6No8
62.312.618.3No9.7
73.41712.9No10.9
234.53.484.8No11.9
139.314.510.2No13.4
219.833.545.1Yes19.6
281.439.655.8Yes24.4
27.51.620.7No6.9
53.5221.4No8.1
66.911.736.8No9.7
3840.311.9No10.9
262.93.519.5No12
225.88.256.5No13.4
166.8423.6Yes19.6
220.3493.2Yes24.7
18.821.750.4No7
5011.618.4No8.4
59.61243.1No9.7
129.45.731.3No11
76.327.516Yes12
232.18.68.7No13.4
229.532.374.2Yes19.7
266.943.85Yes25.4
25.125.743.3No8.5
94.24.98.1Yes9.7
1167.723.1Yes11
139.214.325.6No12.2
68.444.535.6No13.6
255.426.95.5Yes19.8
289.742.351.2Yes25.4
66.15.824.2No8.6
75.510.86Yes9.9
134.34.99.3No11.2
206.85.219.4No12.2
102.729.68.4No14
220.533.237.9Yes20.1
243.24944.3Yes25.4
16.943.789.4No8.7
43.126.735.1Yes10.1
69.220.518.3No11.3
218.55.427.4No12.2
175.715.42.4No14.1
262.728.815.9No20.2
283.64266.2Yes25.5
90.40.323.2No8.7
44.725.820.6Yes10.1
75.320.332.5No11.3
239.84.136.9No12.3
120.528.514.2No14.2
248.430.220.3Yes20.2
287.64371.8Yes26.2
56.25.729.7No8.7
149.81.324.3Yes10.1
199.83.134.6No11.4
109.814.331.7No12.4
172.518.130.7No14.4
293.627.71.8Yes20.7
276.948.941.8Yes27
26.83319.3No8.8
140.31.99Yes10.3
96.214.838.9No11.4
67.836.6114No12.5
164.520.947.4Yes14.5
238.234.35.3Yes20.7
80.209.2Yes8.8
139.52.126.6No10.3
107.41410.9No11.5
237.45.123.5No12.5
147.323.919.1No14.6
184.943.91.7Yes20.7
23.835.165.9Yes9.2
222.43.413.1No11.5
75.13552.7No12.6
78.246.834.5No14.6
273.728.959.7Yes20.8
2242.415.6No11.6
165.61017.6No12.6
74.749.445.7No14.7
182.646.258.7No21.2
48.3478.5No11.6
265.22.943Yes12.7
187.917.217.9No14.7
292.928.343.2No21.4
1218.448.7Yes11.6
290.74.18.5Yes12.8
227.215.849.9No14.8
22837.732No21.5
197.63.55.9No11.7
1779.36.4Yes12.8
280.210.121.4No14.8
213.54333.8No21.7
222.44.349.8No11.7
175.122.531.5No14.9
241.73823.2No21.8
168.47.112.8No11.7
188.418.125.6No14.9
170.27.835.2No11.7
142.929.312.6No15
284.310.66.4Yes15
193.218.465.7No15.2
123.134.612.4No15.2
93.943.550.5No15.3
228.316.926.2No15.5
184.92122No15.5
141.326.846.2No15.5
187.821.19.5Yes15.6
239.315.527.3Yes15.7
240.116.722.9No15.9
209.620.610.7No15.9
125.736.979.2No15.9
28613.93.7No15.9
110.740.663.2No16
280.713.937No16.1
202.522.331.6No16.6
197.623.314.2No16.6
109.847.851.4Yes16.7
163.331.652.9Yes16.9
213.424.613.1Yes17
17733.438.7No17.1
215.423.657.6No17.1
135.241.745.9No17.2
191.128.718.2No17.3
149.735.66No17.3
214.7244Yes17.4
265.6200.3Yes17.4
253.821.330Yes17.6
218.427.753.4Yes18
131.142.828.9Yes18
163.536.87.4Yes18
199.130.638.7Yes18.3
210.729.59.3Yes18.4
Jun 07, 2022
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