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)

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
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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. The function is: FACEBOOK LOGIN=f(FRIENDS,AGE,EMPLOYED,TWITTER) With this functions and variables in mind: Perform necessary tests and analysis to determine the validity of the regression attached in the below table and function provided The tests and analysis must be broken down into two sections namely: tests that are possible with the given regression’s information and tests that should be conducted but are not possible with the given information. For the tests that are possible please conduct them at a 5% significance level and for those that are not possible only mention their names without any further details
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)
Transcribed Image Text: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)
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