Dependent Variable: FACEBOOK LOGIN Included observations: 45 Variable C Coefficient Std. Error t-Statistic -0.4699 1.0095 -0.4655 FRIENDS 0.0499 0.0188 2.6543 AGE 0.1354 0.1352 1.0015 EMPLOYED -1.3072 0.4627 -2.8252 TWITTER 1.5345 0.8167 1.8789 R-squared 0.4647 F-statistic 8.6809 Adjusted R- 0.4112 Prob(F- 0.0008 squared statistic)
Dependent Variable: FACEBOOK LOGIN Included observations: 45 Variable C Coefficient Std. Error t-Statistic -0.4699 1.0095 -0.4655 FRIENDS 0.0499 0.0188 2.6543 AGE 0.1354 0.1352 1.0015 EMPLOYED -1.3072 0.4627 -2.8252 TWITTER 1.5345 0.8167 1.8789 R-squared 0.4647 F-statistic 8.6809 Adjusted R- 0.4112 Prob(F- 0.0008 squared statistic)
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 5E
Question
100%
Investigate what factors determine the number of times a person logs into Facebook per week. It is argued that these four factors are important: number of friends, age in years, whether the person is employed, and whether the student has a Twitter account. That is:
FACEBOOK LOGIN=f(FRIENDS,AGE,EMPLOYED,TWITTER)
Do you think other relevant explanatory variables should also be included? Name any two such variables and explain why they should be included in the regression.
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