Question

5.1.) Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimate

(h) Construct a 99% confidence interval for β0.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Solution : (5.1) Given Test score = 520.4-5582*CS – 0 n = 100 R2 = 0.08 (2014) (321) SER = 11.5 @ A class room has aa studentTES = SPR -09 1. I-R² for sample standard Deviation is: 1. General formala Sy = • Determine på. Å from the formula (1): fô =5(6) Regretsins prediction for change in classs average teat score is a > Given clars Size = (58) = 19 one year -23 next A T& sample standard deviation for 100 class rooms: > SBR = (0-2) SER? =(200-2) (11.52 = (98) (132.25) =(1296005) and TS = SRR |

Add a comment
Know the answer?
Add Answer to:
(h) Construct a 99% confidence interval for β0. 5.1.) Suppose that a researcher, using data on class size (CS) and aver...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 5.1.) Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, es...

    5.1.) Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimate the simple linear regression: Test Score = 520.4-5.82 x CS, n= 100, R2 = 0.08. (20.4) (2.21) (a) A classroom has 22 students. What is the model's prediction for that classroom's average test score? (b) Last year a classroom had 19 students, and this year it has 23 students. What is the model's prediction for the change in the classroom...

  • PLEASE JUST PARTS F) AND G) Suppose that a researcher, using data on class size (CS)...

    PLEASE JUST PARTS F) AND G) Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression: 1. Test-Score = 520.4-5.82 × CS (20.4) (2.21) A classroom has 22 students. What is the regression's prediction for that classroom's average test score? Last year a classroom had 19 students, and this year it has 23 students. What is the regression's prediction for the change in average test score? The sample...

  • Suppose that a researcher, using data on class size (CS) and average test scores from 100...

    Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression: 1. Test-Score = 520.4-5.82 × CS (20.4) (2.21) A classroom has 22 students. What is the regression's prediction for that classroom's average test score? Last year a classroom had 19 students, and this year it has 23 students. What is the regression's prediction for the change in average test score? The sample average class size across the 100...

  • 1. Suppose that a researcher, using data on class size (CS) and average test scores from...

    1. Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression, T esdtScore = 520:4 5:82 CS A classroom has 22 students. Whatís the regressionís prediction for that classroomís average test score? Last year a classroom had 19 students, and this year it has 23 students. What is the regressionís prediction for the change in the classroom average test score? The sample average class size across the 100...

  • 1. (Based on Stock & Watson “Introduction to Econometrics” 6th ed., Exercise 4.1 and 5.1.) Suppose...

    1. (Based on Stock & Watson “Introduction to Econometrics” 6th ed., Exercise 4.1 and 5.1.) Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimate the simple linear regression: TestScore d = 520.4−5.82 × CS, n = 100, R^2 = 0.08. (20.4) (2.21) (d) Name one factor in the error term and discuss its correlation with class size and average test score. (e) Construct 95% and 90% confidence intervals for β1....

  • Suppose that a researcher, using data on class size (CS) and average test scores from 105...

    Suppose that a researcher, using data on class size (CS) and average test scores from 105 third grade classes, estimates the OLSrogression TestScore 551.624 +(-6.1002)XCS, R = 0.10, SER=122. A classroom has 25 students. The regression's prediction for the classroom's average test score is 397.39 (Round your response to two decimal places) Last you a classroom had 22 students, and this year it has 26 students A The regression's prediction for the change in the classroom average test score is...

  • Suppose that a researcher, using data on class size (CS) and average test scores from 103...

    Suppose that a researcher, using data on class size (CS) and average test scores from 103 third-grade classes, estimates the OLS regression TestScore = 556.828 + (-6.2274) x CS, R2-0.10, SER-123. A classroom has 24 students. The regression's prediction for that classroom's average test score is(Round your response to two decimal places.)

  • From Stock & Watson (2019) Exercise 5.1: A researcher, using data on class size (CS) and...

    From Stock & Watson (2019) Exercise 5.1: A researcher, using data on class size (CS) and average test scores from 100 third-grade classes, obtains the following OLS regression results (with standard errors in parentheses): TestScore = 520.4-5.82xCS, R2 -0.08, SER - 11.5. (20.4) (2.21) (a) Construct a 95% confidence interval for B, (the regression slope coefficient). Can you reject the null hypothesis that B, = 0 ? Why or why not? (b) Construct a 99% confidence interval for B. (the...

  • Suppose that a​ researcher, using data on class size ​(CS​) and average test scores from 100...

    Suppose that a​ researcher, using data on class size ​(CS​) and average test scores from 100 third-grade classes, estimates the OLS regression. TestScore = 504.7880 + (-5.6454) x CS, R^2 = 0.08, SER = 11.2 (19.7880) (2.1658) Construct a 95% confidence interval for B1, the regression slope coefficient. The 95% confidence interval for B1, the regression slope coefficient, is (-9.89, -1.40). The t-statistic for the two-sided test of the null hypothesis H0: B1 = 0 is ? (Round to four...

  • 0/1 pts Incorrect Question1 Binary variables are generally used to control for outliers in your sample...

    0/1 pts Incorrect Question1 Binary variables are generally used to control for outliers in your sample can take on only two values exclude certain individuals from your sample. O can take on more than two values 0/1 pts Question 5 Suppose that a researcher, using data on class size (CS)and average test scores from 103 third-grade classes, estimates the OLS regression Testscore-556.828 - 6.2274CS, R2-.09, SER 12.3. (a) A classroom has 20 students. The regression's prediction for that classroom's average...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT