A researcher collected a data set for a random sample of 930 individuals living in and around London, with data collected over 1-year period. The Table below reports the OLS coefficient estimates and standard errors, where the dependent variable is [100xIn(well-being)]. Commuting time/60 -0.237 (0.039) -0.062 (0.008) 0.2 Age Age squared/100 Hours worked log real income Married or cohabiting Num. of children. Saves Degree constant (0.010) -0.0053 (0.001) 0.0297 (0.009) 0.589 (0.032) -0.051 (0.015) 0.299 (0.022) -0.022 (0.035) 0.234 (0.052) The explanatory variables are: Commuting time/60 = Number of minutes of commuting time per day; Age= Age in years; Hours worked = Hours worked per week; Log of real household income = 100xLn(real household income measured in £10,000s); Num. of children = Number of children under the age of 18; Save regularly = 1 if save regularly, 0 otherwise; University degree = 1 if has a University degree, 0 otherwise. What is the predicted value of the dependent variable for an individual with 120 minutes of commuting time who is 30 years old, working 36 hours per week with real income of 30k, who is single, with no children who does not save and does not have a degree. (2 decimal places)
A researcher collected a data set for a random sample of 930 individuals living in and around London, with data collected over 1-year period. The Table below reports the OLS coefficient estimates and standard errors, where the dependent variable is [100xIn(well-being)]. Commuting time/60 -0.237 (0.039) -0.062 (0.008) 0.2 Age Age squared/100 Hours worked log real income Married or cohabiting Num. of children. Saves Degree constant (0.010) -0.0053 (0.001) 0.0297 (0.009) 0.589 (0.032) -0.051 (0.015) 0.299 (0.022) -0.022 (0.035) 0.234 (0.052) The explanatory variables are: Commuting time/60 = Number of minutes of commuting time per day; Age= Age in years; Hours worked = Hours worked per week; Log of real household income = 100xLn(real household income measured in £10,000s); Num. of children = Number of children under the age of 18; Save regularly = 1 if save regularly, 0 otherwise; University degree = 1 if has a University degree, 0 otherwise. What is the predicted value of the dependent variable for an individual with 120 minutes of commuting time who is 30 years old, working 36 hours per week with real income of 30k, who is single, with no children who does not save and does not have a degree. (2 decimal places)
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 93E
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Question
![A researcher collected a data set for a random sample of 930 individuals living in and around London, with data collected
over 1-year period. The Table below reports the OLS coefficient estimates and standard errors, where the dependent
variable is [100xIn(well-being)].
Commuting time/60 -0.237 (0.039)
-0.062 (0.008)
0.2
Age
Age squared/100
Hours worked
log real income
Married or cohabiting
Num. of children
Saves
Degree
constant
(0.010)
-0.0053 (0.001)
0.0297 (0.009)
Answer:
0.589 (0.032)
-0.051
(0.015)
0.299 (0.022)
-0.022 (0.035)
0.234 (0.052)
The explanatory variables are: Commuting time/60 = Number of minutes of commuting time per day; Age= Age in years;
Hours worked = Hours worked per week; Log of real household income = 100xLn(real household income measured in
£10,000s); Num. of children = Number of children under the age of 18; Save regularly = 1 if save regularly, 0 otherwise;
University degree = 1 if has a University degree, O otherwise. What is the predicted value of the dependent variable for an
individual with 120 minutes of commuting time who is 30 years old, working 36 hours per week with real income of 30k,
who is single, with no children who does not save and does not have a degree. (2 decimal places)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F946302a0-fafd-4e2f-b0bc-314903f3aa2e%2F3900fbc2-8782-4b3d-90a9-ae5575363a83%2Fufx1tp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A researcher collected a data set for a random sample of 930 individuals living in and around London, with data collected
over 1-year period. The Table below reports the OLS coefficient estimates and standard errors, where the dependent
variable is [100xIn(well-being)].
Commuting time/60 -0.237 (0.039)
-0.062 (0.008)
0.2
Age
Age squared/100
Hours worked
log real income
Married or cohabiting
Num. of children
Saves
Degree
constant
(0.010)
-0.0053 (0.001)
0.0297 (0.009)
Answer:
0.589 (0.032)
-0.051
(0.015)
0.299 (0.022)
-0.022 (0.035)
0.234 (0.052)
The explanatory variables are: Commuting time/60 = Number of minutes of commuting time per day; Age= Age in years;
Hours worked = Hours worked per week; Log of real household income = 100xLn(real household income measured in
£10,000s); Num. of children = Number of children under the age of 18; Save regularly = 1 if save regularly, 0 otherwise;
University degree = 1 if has a University degree, O otherwise. What is the predicted value of the dependent variable for an
individual with 120 minutes of commuting time who is 30 years old, working 36 hours per week with real income of 30k,
who is single, with no children who does not save and does not have a degree. (2 decimal places)
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