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(d) Make a prediction for Sales when FloorSpace= 53, CompetingAds = 109, and Price = 1,099. (Enter your answer Round your answer to 2 decimal places.) thousand

(d) Make a prediction for Sales when FloorSpace= 53, CompetingAds = 109, and Price = 1,099. (Enter your answer Round your answer to 2 decimal places.) thousand

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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(d) Make a prediction for Sales when FloorSpace= 53, CompetingAds = 109, and Price = 1,099. (Enter your answer in thousands. Round your answer to 2 decimal places.) Sales thousand
Transcribed Image Text:(d) Make a prediction for Sales when FloorSpace= 53, CompetingAds = 109, and Price = 1,099. (Enter your answer in thousands. Round your answer to 2 decimal places.) Sales thousand
Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The regression model was Y= total sales (thousands of dollars), X₁ = display floor space (square meters). X₂ competitors' advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit). Predictor Intercept FloorSpace Competing Ads Price Coefficient 1,287.26 11.52 -6.934 -0.1476 (a) Write the fitted regression equation. (Round your coefficient Competing Ads to 3 decimal places, coefficient Price to 4 decimal places, and other values to 2 decimal places. Negative values should be indicated by a minus sign.) ý= 1,287 26 + 11:52 *FloorSpace + (6.934) CompetingAds + (0.1446) * Price
Transcribed Image Text:Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The regression model was Y= total sales (thousands of dollars), X₁ = display floor space (square meters). X₂ competitors' advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit). Predictor Intercept FloorSpace Competing Ads Price Coefficient 1,287.26 11.52 -6.934 -0.1476 (a) Write the fitted regression equation. (Round your coefficient Competing Ads to 3 decimal places, coefficient Price to 4 decimal places, and other values to 2 decimal places. Negative values should be indicated by a minus sign.) ý= 1,287 26 + 11:52 *FloorSpace + (6.934) CompetingAds + (0.1446) * Price
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