The following data were collected during a study of consumer buying patterns:ObservationObservationy.69y.1819812268191475418510107643577112583569512218646931329903386Click here for the Excel Data Fileb. Obtain a linear regression line for the data (Round your intermediote calculations and final answers to 3 decimal places.)y3=c. What percentage of the variation is explained by the regression line? (Do not round intermediate calculations. Round your answerto the nearest whole percent.)Approximatelyof the varlation in the dependent varlable is explainud by the independent variabled. Use the equation determined in part b to predict the expected value of y for x 44. (Round your intermediate calculations andfinal answers to 3 decimal places.)

Linear regression: Linear regression attempts to model the relationship between two variables by…

The following data were collected during a study of consumer buying patterns: Observation Observation 1. 18 69 19 81 2. 26 81 14 75 41 85 10 10 76 4. 35 77 11 25 83 56 95 12 21 86 46 93 13 29 90 33 86 Click here for the Excel Data File b. Obtain a linear regression line for the data (Round your intermediete calculations and final answers to 3 decimal pleces.) y3=

The following data were collected during a study of consumer buying patterns: Observation Observation 1. 18 69 19 81 2. 26 81 14 75 41 85 10 10 76 4. 35 77 11 25 83 56 95 12 21 86 46 93 13 29 90 33 86 Click here for the Excel Data File b. Obtain a linear regression line for the data (Round your intermediete calculations and final answers to 3 decimal pleces.) y3=

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter24: Forecasting Models

Section24.8: Multiple Regression

Problem 9P

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