b) Suppose you are estimating parameters of the following regression model: Ýt = 9941 + 0.25 X21+ 15125 X3t (6114) (0.121) (7349) R?= 0.87, RSS = 10310 %3D

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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Chapter5: A Survey Of Other Common Functions
Section5.6: Higher-degree Polynomials And Rational Functions
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b) Suppose you are estimating parameters of the following regression model:
Ỹt = 9941 + 0.25 X21+ 15125 X3t
(6114) (0.121)
(7349)
R²= 0.87, RSS = 10310
(The figures in parentheses are the estimated standard errors. RSS are residual sum of squares.)
(i)
Comment on the signs of the variables in the model.
(ii) Interpret and explain individual coefficients.
(iii) Suppose X3 increases by 0.25; what is the expected impact of this change on Y?
(iv) Comment on the explanatory power of the regression.
Transcribed Image Text:b) Suppose you are estimating parameters of the following regression model: Ỹt = 9941 + 0.25 X21+ 15125 X3t (6114) (0.121) (7349) R²= 0.87, RSS = 10310 (The figures in parentheses are the estimated standard errors. RSS are residual sum of squares.) (i) Comment on the signs of the variables in the model. (ii) Interpret and explain individual coefficients. (iii) Suppose X3 increases by 0.25; what is the expected impact of this change on Y? (iv) Comment on the explanatory power of the regression.
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