Mark Price, the new productions manager for Speakers and Company, needs to find out which variable most affects the demand for their line of company speakers. He is uncertain whether the unit price of the product or the effects of increased marketing are the main drivers in sales and wants to use regression analysis to figure out which factor drives more demand for its particular market. Pertinent information was collected by an extensive marketing project that lasted over the past 12 years and was reduced to the data that follow: YEAR 1 2 3 4 5 6 7 UNIT SALES (THOUSANDS) 397 697 897 1,280 1,154 1,187 897 PRICE $/UNIT 281 220 207 211 220 208 217 ADVERTISING ($000) 575 828 1,117 1,412 1,215 1,280 906

Practical Management Science
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Mark Price, the new productions manager for Speakers and Company, needs to find out which variable most affects the demand for
their line of company speakers. He is uncertain whether the unit price of the product or the effects of increased marketing are the
main drivers in sales and wants to use regression analysis to figure out which factor drives more demand for its particular market.
Pertinent information was collected by an extensive marketing project that lasted over the past 12 years and was reduced to the data
that follow:
HEERLESENE
YEAR
1
2
9
10
11
12
UNIT SALES
(THOUSANDS)
397
697
897
1,280
1,154
1,187
897
1,117
990
y bar:
1,333
925
819
PRICE $/UNIT
281
220
207
211
220
208
217
205
Forecasted sales
219
207
220
237
+
ADVERTISING
($000)
575
828
a. Perform a regression analysis based on these data using Excel.
Note: Negative values should be indicated by a minus sign. Round your answers to 4 decimal places.
1,117
1,412
1,215
1,280
906
1,117
707
906
707
684
Price
+
c. Predict average yearly speaker sales for Speakers and Company based on the regression results if the price was $297 per unit and
the amount spent on advertising (in thousands) was $896.
Note: Enter your answer in thousands. Round your intermediate calculations and final answer to 2 decimal places.
thousand units
advertising
Transcribed Image Text:Mark Price, the new productions manager for Speakers and Company, needs to find out which variable most affects the demand for their line of company speakers. He is uncertain whether the unit price of the product or the effects of increased marketing are the main drivers in sales and wants to use regression analysis to figure out which factor drives more demand for its particular market. Pertinent information was collected by an extensive marketing project that lasted over the past 12 years and was reduced to the data that follow: HEERLESENE YEAR 1 2 9 10 11 12 UNIT SALES (THOUSANDS) 397 697 897 1,280 1,154 1,187 897 1,117 990 y bar: 1,333 925 819 PRICE $/UNIT 281 220 207 211 220 208 217 205 Forecasted sales 219 207 220 237 + ADVERTISING ($000) 575 828 a. Perform a regression analysis based on these data using Excel. Note: Negative values should be indicated by a minus sign. Round your answers to 4 decimal places. 1,117 1,412 1,215 1,280 906 1,117 707 906 707 684 Price + c. Predict average yearly speaker sales for Speakers and Company based on the regression results if the price was $297 per unit and the amount spent on advertising (in thousands) was $896. Note: Enter your answer in thousands. Round your intermediate calculations and final answer to 2 decimal places. thousand units advertising
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