A corporation owns several companies. The strategic planner for the corporation believes dollars spent on advertising can to some extent be a predictor of total sales dollars. As an aid in long-term planning, she gathers the following sales and advertising information from several of the companies for 2009 ($ millions). Determine the SSE and the se by using ŷ = -46.334 + 15.245 x. Think about the variables being analyzed by regression in this problem and comment on the value of se. Advertising (x) Sales (y) Predicted ( ŷ ) Residuals (y – ŷ ) 12.5 143 144.2231 -1.2231 3.7 55 10.0709 44.9291 21.6 338 282.9487 55.0513 60.0 994 868.3402 125.6598 37.6 539 526.8618 12.1382 6.1 89 46.6579 42.3421 16.3 126 202.1525 -76.1525 41.2 379 581.7423 -202.7423 *(Round your answer to to 3 decimal places, e.g. 0.757.) **(Round your answer to 1 decimal place, e.g. 0.7.) SSE = Se =

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A corporation owns several companies. The strategic planner for the corporation believes dollars spent on advertising can to some
extent be a predictor of total sales dollars. As an aid in long-term planning, she gathers the following sales and advertising
information from several of the companies for 2009 ($ millions). Determine the SSE and the sę by using ŷ = -46.334 + 15.245 x.
Think about the variables being analyzed by regression in this problem and comment on the value of Se.
Advertising (x) Sales (y) Predicted ( ŷ ) Residuals (y – ŷ )
12.5
143
144.2231
-1.2231
3.7
55
10.0709
44.9291
21.6
338
282.9487
55.0513
60.0
994
868.3402
125.6598
37.6
539
526.8618
12.1382
6.1
89
46.6579
42.3421
16.3
126
202.1525
-76.1525
41.2
379
581.7423
-202.7423
*(Round your answer to to 3 decimal places, e.g. 0.757.)
**(Round your answer to 1 decimal place, e.g. 0.7.)
SSE =
**
Se =
out of 8 (
%) of the sales estimates are within the value of Se.
Transcribed Image Text:A corporation owns several companies. The strategic planner for the corporation believes dollars spent on advertising can to some extent be a predictor of total sales dollars. As an aid in long-term planning, she gathers the following sales and advertising information from several of the companies for 2009 ($ millions). Determine the SSE and the sę by using ŷ = -46.334 + 15.245 x. Think about the variables being analyzed by regression in this problem and comment on the value of Se. Advertising (x) Sales (y) Predicted ( ŷ ) Residuals (y – ŷ ) 12.5 143 144.2231 -1.2231 3.7 55 10.0709 44.9291 21.6 338 282.9487 55.0513 60.0 994 868.3402 125.6598 37.6 539 526.8618 12.1382 6.1 89 46.6579 42.3421 16.3 126 202.1525 -76.1525 41.2 379 581.7423 -202.7423 *(Round your answer to to 3 decimal places, e.g. 0.757.) **(Round your answer to 1 decimal place, e.g. 0.7.) SSE = ** Se = out of 8 ( %) of the sales estimates are within the value of Se.
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