Consider the following estimated regression model: Ý = 1.46 (1.32) 2.4 X1 + 0.75X21, i = 1, ...,25, (0.25) %3D - (0.6) where standard errors appear in parentheses. Then, using the t-test, the following hypothes Ho: B2 = 0.25 HA: B2 # 0.25 O is rejected at the 20% significance level O is rejected at the 10% significance level O is rejected at the 5% significance level O Both (a) and (b) are true statements. O (a), (b), and (c) are true statements.

MATLAB: An Introduction with Applications
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Consider the following estimated regression model:
Ý; = 1.46 –
(1.32)
2.4X1 + 0.75X22, i = 1,...,25,
(0.25)
-
%3D
where standard errors appear in parentheses. Then, using the t-test, the following hypothesi=
Ho: B2 = 0.25
HA: B2 + 0.25
%3D
is rejected at the 20% significance level
O is rejected at the 10% significance level
O is rejected at the 5% significance level
O Both (a) and (b) are true statements.
O (a), (b), and (c) are true statements.
Transcribed Image Text:Consider the following estimated regression model: Ý; = 1.46 – (1.32) 2.4X1 + 0.75X22, i = 1,...,25, (0.25) - %3D where standard errors appear in parentheses. Then, using the t-test, the following hypothesi= Ho: B2 = 0.25 HA: B2 + 0.25 %3D is rejected at the 20% significance level O is rejected at the 10% significance level O is rejected at the 5% significance level O Both (a) and (b) are true statements. O (a), (b), and (c) are true statements.
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