Suppose We Omit X₃ (A Variable That Actually Affects Y) $\beta$

question 3

Multiple Choice

Suppose we omit X₃ (a variable that actually affects Y) from the following in a bivariate model
Y_i = $\beta$ ₀ + $\beta$ ₁X_1i + $\beta$ ₂X_2i + $\varepsilon$ _i
And suppose each of the independent variables are correlated with the other independent variables. What is the consequence of omitting X₃ on $\beta$ ₁hat?

• A) No effect; \(\beta\)₁hat will be unbiased.
• B) The bias will depend only on the correlation of X₁ and X_3.
• C) The bias will depend on the correlations of all the independent variables_.
• D) The bias will depend only on the correlation of X₁ and X_2.

Explain the characteristics and functions of formal and informal communication networks.

Identify the role of communication in team dynamics and virtual teams.

Understand the impact of diversity and cultural aspects on communication.

Recognize the importance of communication technologies and social media in organizational settings.

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Definitions:

Quizzes

Short assessments used to measure knowledge, skills, or abilities in a specific area or subject.

Variable Interval

A schedule of reinforcement where a response is rewarded after an unpredictable amount of time has passed, used in operant conditioning to modify behavior.

Reinforcement

In behavioral psychology, a process that increases the likelihood of a behavior being repeated, usually by providing a reward.

E-Mail

A method of exchanging digital messages over the Internet between people using electronic devices.