An analyst is given the data in Table 1 for the annual sales for Company XYZ, a maker of paper products, and paper product industry sales. The analyst has been asked to develop a model to aid in the prediction of future sales levels for Company XXL Table 1: Regression Output Parameters the Coefficient Coefficient Standard Error of Intercept -94.88 32.97 Slope (industry sales) 0.2796 0.0363 Based on the regression results, XYZ Company's market share of any increase in industry sales is expected to be closest to:
An analyst is given the data in Table 1 for the annual sales for Company XYZ, a maker of paper products, and paper product industry sales. The analyst has been asked to develop a model to aid in the prediction of future sales levels for Company XXL Table 1: Regression Output Parameters the Coefficient Coefficient Standard Error of Intercept -94.88 32.97 Slope (industry sales) 0.2796 0.0363 Based on the regression results, XYZ Company's market share of any increase in industry sales is expected to be closest to:
Chapter1: Making Economics Decisions
Section: Chapter Questions
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Transcribed Image Text:An analyst is given the data in Table 1 for the annual sales for
Company XYZ, a maker of paper products, and paper product
industry sales. The analyst has been asked to develop a model to
aid in the prediction of future sales levels for Company XXL
Table 1: Regression Output
Parameters
the Coefficient
Intercept
-94.88
32.97
Slope (industry sales)
0.2796
0.0363
Based on the regression results, XYZ Company's market share
of any increase in industry sales is expected to be closest to:
a. 94%
b. 100 %
c.4%
O d. 45 %
e. 1 %
f. 28 %
Coefficient
O
10
Standard Error of
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