Please help Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regressionTestScore= 562.0320 + (-6.2856)x CS, R 0.11, ER= 12.4(22.0320) (2.0111)Construct a 95% confidence interval for B,, the regression slope coefficient.The 95% confidence interval for B,, the regression slope coefficient, is ( ). (Round your responses to two decimal places.)The t-statistic for the two-sided test of the null hypothesis Ho: B1 = 0 is (Round your response to four decimal places.)Note: Assume a normal distribution.The p-value for the two-sided test of the null hypothesis Ho: B1 = 0 is (Round your response to four decimal places.)Do you reject the null hypothesis at the 1% level?O A. Yes, because the t-statistic is less than 2.58.O B. Yes, because the p-value is less than 0.01.O C. Yes, because the t-statistic is greater than 2.58.O D. No, because the p-value is greater than 0.01.Click to select your answer(s).P Type here to search耳| This Question: 2 pts2 of 21 (20 complete)LHe 33 70 LUmuence nervai iui P1, uEleyiessiOII Siope CueIICient, iS (| J:| V- RUUnu youi TespUnses iU tWu ueciiai pldues.)The t-statistic for the two-sided test of the null hypothesis Ho: B, = 0 is(Round your response to four decimal places.)Note: Assume a normal distribution.The p-value for the two-sided test of the null hypothesis Ho: B1 = 0 is . (Round your response to four decimal places.)Do you reject the null hypothesis at the 1% level?O A. Yes, because the t-statistic is less than 2.58.O B. Yes, because the p-value is less than 0.01.O C. Yes, because the t-statistic is greater than 2.58.O D. No, because the p-value is greater than 0.01.The p-value for the two-sided test of the null hypothesis Ho: B, = -6.0 is (Round your response to four decimal places.)Without doing any additional calculations, determine whether - 6.0 is contained in the 95% confidence interval for B.O A. No, -6.0 is not contained in the 95% confidence interval for B,O B. Yes, -6.0 is contained in the 95% confidence interval for B1Click to select your answer(s).9 Type here to search

Since you have posted multiple subparts, as per the guideline we are allowed to solve 1st question…

Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore= 562.0320 + (-6.2856)x CS, R=0.11, ER = 12.4 (22.0320) (2.0111) Construct a 95% confidence interval for B,, the regression slope coefficient. The 95% confidence interval for B,, the regression slope coefficient, is ( D (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis Ho: B1 = 0 is (Round your response to four decimal places.) Note: Assume a normal distribution. The p-value for the two-sided test of the null hypothesis Ho: B1 = 0 is (Round your response to four decimal places.) Do you reject the null hypothesis at the 1% level? O A. Yes, because the t-statistic is less than 2.58. O B. Yes, because the p-value is less than 0.01. O C. Yes, because the t-statistic is greater than 2.58. O D. No, because the p-value is greater than 0.01.

Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore= 562.0320 + (-6.2856)x CS, R=0.11, ER = 12.4 (22.0320) (2.0111) Construct a 95% confidence interval for B,, the regression slope coefficient. The 95% confidence interval for B,, the regression slope coefficient, is ( D (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis Ho: B1 = 0 is (Round your response to four decimal places.) Note: Assume a normal distribution. The p-value for the two-sided test of the null hypothesis Ho: B1 = 0 is (Round your response to four decimal places.) Do you reject the null hypothesis at the 1% level? O A. Yes, because the t-statistic is less than 2.58. O B. Yes, because the p-value is less than 0.01. O C. Yes, because the t-statistic is greater than 2.58. O D. No, because the p-value is greater than 0.01.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 2E

See similar textbooks

Similar questions

In a study it was shown that for a sample of 353 college faculty, the correlation was 0.11 between annual raises and teaching evaluations. What would be the coefficient of determination of a regression of annual raises on teaching evaluations for this sample? Interpret your result.
Suppose you have a large, random sample of the variables Y and X. You then regress Y on X and get the following results (with standard errors in parentheses): Y=16.8-3.9x (3.8) (1.2) The numbers 16.8 and -3.9 are the realized values for the intercept and slope (respectively) of the regression equation describing the sample, which are consistent estimators for what population parameters? The intercept and slope (respectively) of the sample determining function. The intercept and slope (respectively) of the regression equation that best fits the population. Instructions: Enter your responses rounded to three decimal places. If you are entering any negative numbers be sure to include a negative sign (-) in front of those numbers: b. Provide a 99% confidence interval for each estimator's corresponding population parameter: Intercept: Slope:(------------) (-------------) Slope (-------------) (------------------)
Using the regression results in column (1):a. Is the college–high school earnings difference estimated from thisregression statistically significant at the 5% level? Construct a 95%confidence interval of the difference.b. Is the male–female earnings difference estimated from this regressionstatistically significant at the 5% level? Construct a 95% confidenceinterval for the difference.
In regression analysis, the existence of a significant pattern in successive values of the error term constitutes:
Show the graphical form of the econometric error using sample regression line (SRL) and the population regression line(PRL).
1.In econometrics, a sample is Select one: a. the entire group of entities that we are interested in learning about. b. only one observation drawn from the population. c. a subset or part of the population and it is what is used to perform statistical inference. d. the primary thing that econometricians are interested in. 2. The estimated sample regression function is determined by Select one: a. minimizing the sum of squared residuals. b. minimizing the least absolute deviations from the mean. c. minimizing the total deviations from the mean. d. maximizing the sum of squared residuals. 3. Econometrics is Select one: a. the science of collection, organization, analysis, and interpretation of data. b. the use of summary statistics. c. the application of statistical techniques to economic data. d. the study of how people chose to use scarce resources. 4. Simple linear regression analysis determines Select one: a. the true value of the population slope coefficient. b.…
In regression analysis, a common metric used in assessing the quality of the model being used to fit the data is known as the R-squared coefficient. Explain the R-squared coefficient. What is the difference between the R-squared and adjusted R-squared coefficients?
The following data gives the experience of the machine operators and their performance ratings as given by the number of good parts turned out per 100 pieces.Experience(X) 16 12 18 4 3 10 5 12Performance Ratings (Y) 88 87 89 68 78 80 75 83Obtain the regression line of performance ratings on experience and estimate the probable performance if the operator has 7 years of experience.
Suppose you have the following data: X Y 3 9 7 45 5 25 2 8 Using OLS methods: estimate the following regression model: Sq root of Yi = Beta0 + Beta1(Xi) + error
Using the regression results in column (1):a. Is the college–high school earnings difference estimated from thisregression statistically significant at the 5% level? Construct a 95%confidence interval of the difference.b. Is the male–female earnings difference estimated from this regressionstatistically significant at the 5% level? Construct a 95% confidenceinterval for the differenc(answer for me part please)
In exercise 1, the following estimated regression equation based on 10 observations was presented. y^=29.1270+.5906x1+.4980x2Here SST=6724.125, SSR=6216.375, sb1=.0813, and sb2=.0567. a) Compute MSR and MSE. b) Compute F and perform the appropriate F test. Use α=.05. c) Perform a t test for the significance of β1. Use α=.05. d) Perform a t test for the significance of β2. Use α=.05.
Suppose you run a regression y=alpha + beta*x + u. You know that the estimated coefficient is 2.94 and the standard error is 1.09. What is the value of t-statistic for your estimated coefficient beta?