A researcher estimates an AR(1) with an intercept and finds that the OLS estimate of b1...
A researcher estimates an AR(1) with an intercept and finds that the OLS estimate of b1 is 0.88, with a standard error of 0.03. Does a 95% confidence interval include b1 = 1? Explain.
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A researcher estimates an AR(1) with an intercept and finds that
the OLS estimate of b1...
1. Review the OLS model with one variable and an intercept. Estimate a model with unknown slope a...
please help me to answer this questions, please show the
detailed.
1. Review the OLS model with one variable and an intercept. Estimate a model with unknown slope and intercept of a line, assuming the Gauss Markov Assumptions hold. Suppose the mean of the Xi's is 70. the mean of the li's is 100, the Σ x =-3.550, the Σ x-2.250, Σ κ-4, 872,040, n-12 and Σ e-487, 204, Σ X-61,050, where zi = X,- X and = Y-Y (a)...
. An educational researcher sought to estimate the average number of close friends that students on...
. An educational researcher sought to estimate the average number of close friends that students on a particular campus made during their first year of school. Questioning a random sample of 50 students completing their freshman year, he finds a sample mean of 3 close friends. Assume the population standard deviation is 1. Construct a 95 percent confidence interval to estimate the mean number of close friends made by the population of college students during their first year on campus....
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...
A researcher in campaign finance law wants to estimate the proportion of elementary, middle, and high...
A researcher in campaign finance law wants to estimate the proportion of elementary, middle, and high school teachers who contributed to a candidate during a recent election cycle. Given that no prior estimate of the population proportion is available, what is the minimum sample size such that the margin of error is no more than 0.03 for a 95% confidence interval?
1.) Interpret the estimate of the intercept Bo 2.) Estimate the expected GPA for a student...
1.) Interpret the estimate of the intercept Bo
2.) Estimate the expected GPA for a student with a HS GPA of 3.5
and a verbal SAT score of 600, and construct a 95 percent
confidence interval for the expected GPA.
3.) Predict the GPA for a new student with a HS GPA of 3.5 and a
verbal SAT score of 600, and construct a 95 percent prediction
interval for the new student’s GPA.
Call: lm (formula = GPA ~ HSGPA...
A researcher wishes to estimate the proportion of adults who have high-speed Internet access. What size...
A researcher wishes to estimate the proportion of adults who have high-speed Internet access. What size sample should be obtained if she wishes the estimate to be within 0.03 with 95% confidence if (a) she uses a previous estimate of 0.34? (b) she does not use any prior estimates? (Round up to the nearest integer).
A researcher surveys middle-school students on their study habits. She finds that in a random sample...
A researcher surveys middle-school students on their study habits. She finds that in a random sample of 28 middle-school students, the mean amount of time that they spend working on the computer each night is 2.4 hours with a standard deviation of 0.92 hours. She uses the sample statistics to compute a 95% confidence interval for the population mean - the the mean amount of time that all middle-school students spend working on the computer each night. What is the...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with 65 observations. However, it is suspected autocorrelation is present. You estimate the residuals (Uhatt) on the lag of residuals (Uhatt-1), Xt, and a constant. These estimation results are presented in the table below. Coefficient Std. Error Intercept Uhatt-1 Xt 0.006 0.052 0.004 0.051 0.002 0.001 0.004 R2 Adjusted-R2 0.003 Make your decision on autocorrelation and choose the most appropriate action from the responses. A....
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with 65 observations. However, it is suspected autocorrelation is present. You estimate the residuals (Uhatt) on the lag of residuals (Uhatt-1), Xt, and a constant. These estimation results are presented in the table below. Std. Error Coefficient 0.006 0.004 Intercept Uhatt-1 Xt 0.052 0.051 0.001 0.002 0.004 R2 Adjusted-R2 0.003 Make your decision on autocorrelation and choose the most appropriate action from the responses. O...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with 65 observations. However, it is suspected autocorrelation is present. You estimate the residuals (Uhatt) on the lag of residuals (Uhatt-1), Xt, and a constant. These estimation results are presented in the table below. Coefficient Std. Error 0.824 Intercept Uhatt-1 Xt 10.412 0.198 0.325 0.052 0.064 Adjusted-R2 0.122 0.107 Make your decision on autocorrelation and choose the most appropriate action from the responses. A. Not...
please help me to answer this questions, please show the
detailed.
1. Review the OLS model with one variable and an intercept. Estimate a model with unknown slope and intercept of a line, assuming the Gauss Markov Assumptions hold. Suppose the mean of the Xi's is 70. the mean of the li's is 100, the Σ x =-3.550, the Σ x-2.250, Σ κ-4, 872,040, n-12 and Σ e-487, 204, Σ X-61,050, where zi = X,- X and = Y-Y (a)...
1.) Interpret the estimate of the intercept Bo
2.) Estimate the expected GPA for a student with a HS GPA of 3.5
and a verbal SAT score of 600, and construct a 95 percent
confidence interval for the expected GPA.
3.) Predict the GPA for a new student with a HS GPA of 3.5 and a
verbal SAT score of 600, and construct a 95 percent prediction
interval for the new student’s GPA.
Call: lm (formula = GPA ~ HSGPA...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with 65 observations. However, it is suspected autocorrelation is present. You estimate the residuals (Uhatt) on the lag of residuals (Uhatt-1), Xt, and a constant. These estimation results are presented in the table below. Coefficient Std. Error Intercept Uhatt-1 Xt 0.006 0.052 0.004 0.051 0.002 0.001 0.004 R2 Adjusted-R2 0.003 Make your decision on autocorrelation and choose the most appropriate action from the responses. A....
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with 65 observations. However, it is suspected autocorrelation is present. You estimate the residuals (Uhatt) on the lag of residuals (Uhatt-1), Xt, and a constant. These estimation results are presented in the table below. Std. Error Coefficient 0.006 0.004 Intercept Uhatt-1 Xt 0.052 0.051 0.001 0.002 0.004 R2 Adjusted-R2 0.003 Make your decision on autocorrelation and choose the most appropriate action from the responses. O...
Consider the model, Yt = BO+B1 Xt + Ut, and this is estimated using OLS with 65 observations. However, it is suspected autocorrelation is present. You estimate the residuals (Uhatt) on the lag of residuals (Uhatt-1), Xt, and a constant. These estimation results are presented in the table below. Coefficient Std. Error 0.824 Intercept Uhatt-1 Xt 10.412 0.198 0.325 0.052 0.064 Adjusted-R2 0.122 0.107 Make your decision on autocorrelation and choose the most appropriate action from the responses. A. Not...
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