1. Consider the following equation where we report estimates along with their standard errors in brackets: sleep =...
1. Consider the following equation where we report estimates along with their standard errors in brackets: =3683.25-0.148to twrk-11.13educ+ 2.20age (0.017) = 706, R2 = .113 sleep (5.88) (1.45) (112.28) n Dropping educ and age from the equation gives: sleep = 3586.38-0.151totwrk (38.91) n 706, R2 = .103 1.3. Are educ and age jointly significant in the original equation at 5% level? Explain. (1 point) (0.017)
Total 10 Points Assignment 4 1. Consider the following equation where we report estimates along with their standard errors in brackets: sleep = 3683.25 -0.148totwrk - 11.13educ +2.20age (112.28) (0.017) (5.88) (1.45) n = 706, R2 = .113 Name: . Construct the 90% and 99% confidence interval for the estimate of totwrk. Using the confidence ais, test the null hypothesis: H:B, = 0 against the alternative H.:B1 #0 at 10% and 1% level of significance (1 point). o borow bruilof...
4) The following equation was estimated to explain sleeping patterns sleep = 3,638.25 -0,148 fotwork -11.13* educ+ 2.20 age (112.28) (0,017) (5.88) (1.45) n=706, R =0,113 a) (5 points) is either educ or age significant at the 5% level against a two-sided alternative? Show you work. b) (5 points) Dropping educ and age from the equation gives sleep = 3,586,38 -0.151 to work (38.91) (0,017) n=706, R =0,103 Are educ and age jointly significant in the original equation at the...
Problem 2 (25 pts). The following multiple regression model is to study the tradeoff between time spent on sleeping and working and to look at other factors affecting sleep: sleep-a-bĂtoturk + bgeduc-b3age te where sleep and totwork (total work) are measured in minutes per week and educ and age are measured in years The estimated model is as follows. sleep3638.25 0.148 totwrk -11.13 educ + 2.2 age (5.88) (112.28) (0.017) n = 706, R-0.113 The standard error of each coefficient...
Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...