The coefficient of a linear regression equation
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1.The coefficient of a linear regression equation indicates
the change in the independent variable relative to a unit change in the dependent variable.
the change in the dependent variable relative to a unit change in the independent variable.
the percentage change in the dependent variable relative to a unit change in the independent variable.
the percentage change in the independent variable relative to a unit change in the dependent variable
2.Which of the following is most likely to indicate a statistically significant regression coefficient?
t > 2
R2 > .90
t > R2
F > 4
none of the above because of insufficient information
3.Answer the following question on the basis of the regression results below (standard errors in parentheses, n = 200)
Qd = -500 - 100Pa + 50Pb + .3I + .2A
(250) (50) (30) (.1) (.8)
R2 = .12
where:
Qd = 10,500, quantity demanded of product "A"
Pa = $10, price of product "A"
Pb = $8, price of product "B"
I = $12,000, per capita income
A = $20,000, monthly advertising expenditures
Which of the variables does not pass the t-test at the .05 level of significance?
Pa
Pb
I
A
Both A and Pb
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1.The coefficient of a linear regression equation indicates
the change in the independent variable relative to a unit change in the dependent variable.
the change in the dependent variable relative to a unit change in the independent variable.
the percentage change in the dependent variable relative to a unit change in the independent variable.
the percentage change in the independent variable relative to a unit ...
Purchase this Solution
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