JUST ANSWER B) 3. Suppose that you are provided with the following estimated regression model for academic performance...
3. Suppose that you are provided with the following estimated regression model for academic performance of students in your district: Test score = 686.0-1.10 x Student teacher ratio-0.650 x Percentage of English students, (8.7) (0.43) (0.031) where the numbers in parentheses are standard errors. (a) Construct 95% confidence intervals for the true regression coefficients of Student teacher ratio and Percentage of English-students. How do you interpret these confidence intervals?
Refer to the table of estimated regressions below, computed using data for 1999 from all 420 K-6 and K-8 districts in California, to answer the following question. The variable of interest, test scores, is the average of the reading and math scores on the Stanford 9 Achievement Test, a standardized test administered to fifth-grade students. School characteristics (average across the district) include enrollment, number of teachers (measured as "full-time equivalents"), number of computers per classroom, and expenditure per student. Results...
BUS 3700, Quiz 9. 11/7/2019 Name: For a random list of universities, the following variables were noted graduation rate", of classes under 20 students faculty ratio", and "alumni giving rate A partial set of data is shown below: University Graduation Rate % of Classes Under 20 Student Faculty Ratio Alumni Giving Rate 3913 A linear regression model was created to explain the alumni sing rate(y) based on the other 3 variables. The results are SUMMARY OUTPUT Regression Statistics Multiple R...
BUS 3700. Quiz 9. 11/7/2019 Name: For a random list of universities, the following variables were noted: graduation rate", faculty ratio", and "alumni giving rate". A partial set of data is shown below: University Graduation Rate % of Classes Under 20 Student/Faculty Ratio of classes under 20 students", "student Alumni Giving Rate 79 08 A linear regression model was created to explain the "alumni giving rate" (-y) based on the other 3 variables. The results are: SUMMARY OUTPUT Regression Statistics...
11. Suppose you are interested in estimating the effect of hours spent in an SAT preparation course (hours) on total SAT score (sat). The population is all college-bound high school seniors for a particular year. (i) Suppose you are given a grant to run a controlled experiment. Explain how you would structure the experiment in order to estimate the causal effect of hours on sat. (ii) Consider the more realistic case where students choose how much time to spend in...