ethevad vakue of the estimator is eqeal to the true popalation parameter d) the
ID: 1161661 • Letter: E
Question
ethevad vakue of the estimator is eqeal to the true popalation parameter d) the expected valnc of the estimator is equal to the smp R An estimator is unbiased if the standard error is small. an 05 Multiple linear regression analysis determines a) 9. the Erue value of the population slope coefficient inear relationship twen the dependent variable and exactly one independent variable. ine dependent variable and many independent variables. d Da to know whether Age and Family Size are joindly significant in the model for thistesis "h Age + ?2 Family Size + ?,Years of Education. The appropriate nan true value of the population intercept Per Use the following information to answer questions 11-14 Suppose you regress the number of 6.1 SUMMARY OUTPUT medals won by countries in the 1996, 2000, 2004, and 2008 Olympics on the results in Figure Figure 1 Muhiple R R Squee Standard Emor 0.473932054 0.224611592 18853757 14.85665558 Ms 25830 70959 8610 236529 9.00973242 3 69997E-2 Resicual Total 89170 96688 220.7202151 115001.6765 404 Lower 95% the95%- 385.4384477 338.9966744 1136997725 025621316 -280 9792491 1051856144 GDP Per Capita (Thomandh) 028651666 0.046941033 6103756974 2431SE-09 0.194237479 0 37879584 0.041979674 000443387 9.467954334 242102E-19 0.033263338 0050696011 0 191084928 0 169402359 1.127994491 0259991678 0524105098 0.141935242 Population (Milliom) 11. Based on the estimates in Figure 1, you should conclude that a 1 million increase in population is estimated to be associated with a) a statistically significant.042 increase in population. b) a statistically significant.042 increase in the total number of medals won, holding all other independent variables constant. a statistically insignificant.042 increase in the total number of medals won. c) d) a statistically insignificant.042 increase in the total number of medals won, holding all othe independent variables constantExplanation / Answer
Answer 8:
Option B.
An estimator is unbiased if the expected value of the estimator is tru to the true population parameter.
Answer 9:Option C.
A multiple linear regression model determines the linear relationship between the dependent variable and many independent variables.
Answer 10;
Option B. For joint significance we use F test and consider both are insignificant in the null hypothesis formulation.
Answer 11:
Option B. Since t value is high and population is statistically significant in determining the number of medals won. Thus it leads to 0.42 units increase in the number if medals won keeping all other variables constant.
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