The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ŷ = 21 + 13x1 + 9x2 The data used to develop the model came from a survey of 10 stores; for those data, SST = 19,000 and SSR = 14,630. (a)For the estimated regression equation given, compute R2. R2 = 0.77 (b)Compute Ra2. (Round your answer to two decimal places.) Ra2 = ?? (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that ?? ( not 71)% of the variability has been explained by the two independent variables; thus, we conclude that the model does explain a large amount of variability.

The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ŷ = 21 + 13x1 + 9x2 The data used to develop the model came from a survey of 10 stores; for those data, SST = 19,000 and SSR = 14,630. (a)For the estimated regression equation given, compute R2. R2 = 0.77 (b)Compute Ra2. (Round your answer to two decimal places.) Ra2 = ?? (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that ?? ( not 71)% of the variability has been explained by the two independent variables; thus, we conclude that the model does explain a large amount of variability.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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Question

The following estimated regression equation relating sales to inventory investment and advertising expenditures was given.

ŷ = 21 + 13x₁ + 9x₂

The data used to develop the model came from a survey of 10 stores; for those data, SST = 19,000 and SSR = 14,630.

(a)For the estimated regression equation given, compute R².

R² = 0.77

(b)Compute R_a². (Round your answer to two decimal places.)

R_a² = ??

(c)

Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.)

The adjusted coefficient of determination shows that ?? ( not 71)% of the variability has been explained by the two independent variables; thus, we conclude that the model does explain a large amount of variability.

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