F(5,700) 19 59011 P value (F) 2 72e 18 Log likelihood 5259 348 Akaike criterion 10530 70 Where male is a gender dummy, male 1 and female 0 d All other factors being equal, is there evidence that men sleep more than women How strong is the evidence e Is there a statistically significant tradeoff between working and sleeping What is the estimated tradeoff f What is the logic behind adding age (2) in the model Explain (25 points) begin tabular lrlr F(5,700) 19 59011 P value (F) 2 72e18 Log likelihood 5259 348 Akaike criterion 10530 70 end tabular Where male is a gender dummy, male 1 and female 0 d All other factors being equal, is there evidence that men sleep more than women How strong is the evidence e Is there a statistically significant tradeoff between working and sleeping What is the estimated tradeoff f What is the logic behind adding age 2 in the model Explain (25 points)

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Question: F(5,700) 19.59011 P-value (F) 2.72e-18 Log-likelihood -5259.348 Akaike criterion 10530.70 Where male is a gender dummy, male =1 and female =0

F(5,700)

\ 19.59011\ P-value (F)\

2.72e-18

\ Log-likelihood\

-5259.348

\ Akaike criterion\ 10530.70\ Where male is a gender dummy, male

=1

and female

=0

\ d. All other factors being equal, is there evidence that men sleep more than women? How strong is the evidence?\ e. Is there a statistically significant tradeoff between working and sleeping? What is the estimated tradeoff?\ f. What is the logic behind adding age

^(2)

in the model? Explain\ (25 points)

$F(5,700)\ 19.59011\ P-value (F)\ 2.72e-18\ Log-likelihood\ -5259.348\ Akaike criterion\ 10530.70\ Where$

\begin{tabular}{lrlr} F(5,700) & 19.59011 & P-value (F) & 2.72e18 \\ Log-likelihood & -5259.348 & Akaike criterion & 10530.70 \end{tabular} Where male is a gender dummy, male =1 and female =0 d. All other factors being equal, is there evidence that men sleep more than women? How strong is the evidence? e. Is there a statistically significant tradeoff between working and sleeping? What is the estimated tradeoff? f. What is the logic behind adding age 2 in the model? Explain (25 points)

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