QUESTION G Save Answer Estimate the population regression model. In(TestScore,) - Bo +Bjln(STR,) + Balncome,+ Balunch, + u, where mx) denotes the natutal log ol Note that the R-funetion logt) comptes...


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QUESTION G<br>Save Answer<br>Estimate the population regression model.<br>In(TestScore,) - Bo +Bjln(STR,) + Balncome,+ Balunch, + u,<br>where mx) denotes the natutal log ol Note that the R-funetion logt) comptes the nalural log, ie, log(a) computes<br>the natural log of Choone the corect statement<br>On We should not have induded income nd Lunch becano the hypotvenin that B, -0 and B=0 and<br>cannot be mjected at the 5% sigrificance levet.<br>Oli The modei here s woran than the models in Question 1 ard Quention 4 becauso the model hnee has the<br>Sralest p? among the three models<br>O: The nstimated elashcity of TestScore to STR Approximalely -00167 and its signilicant at the 5% levet<br>Od The estimaton resuts Bugpest that a 11s incroaso in STR wod reduce TestScore by 1,67 points on the<br>test<br>D. The estimaton resuts suggest thal decreasing STR try one studont would induce a 1.67 percent incroase in<br>TestSeore.<br>

Extracted text: QUESTION G Save Answer Estimate the population regression model. In(TestScore,) - Bo +Bjln(STR,) + Balncome,+ Balunch, + u, where mx) denotes the natutal log ol Note that the R-funetion logt) comptes the nalural log, ie, log(a) computes the natural log of Choone the corect statement On We should not have induded income nd Lunch becano the hypotvenin that B, -0 and B=0 and cannot be mjected at the 5% sigrificance levet. Oli The modei here s woran than the models in Question 1 ard Quention 4 becauso the model hnee has the Sralest p? among the three models O: The nstimated elashcity of TestScore to STR Approximalely -00167 and its signilicant at the 5% levet Od The estimaton resuts Bugpest that a 11s incroaso in STR wod reduce TestScore by 1,67 points on the test D. The estimaton resuts suggest thal decreasing STR try one studont would induce a 1.67 percent incroase in TestSeore.

Jun 01, 2022
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