can you please help me with these question. all the images are one combined question. thank you
Refer to the table of estimated regressions below, computed using data for 1999 from all 420 K6 and K8 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 fifthgrade students. School characteristics (average across the district) include enrollment, number of teachers (measured as \"fulltime equivalents"). number of computers per classroom, and expenditure per student. Compute the R2 for each of the regressions. nl:_|. .. __.__. .._.._ ___... _ ..I_\\ Results of Regressions of test scores on the Student-Teacher Ratio and Student Characteristic Control Variables Using California Elementary School Districts. Dependent variable: average test score in the district. Regressor (1) (2) (3) (4) (5) Studentteacher ratio (X1) - 2.75" - 1.62' - 1.63" - 1.03\" - 1.31\" (0.51) (0.45) (0.29) (0.34) (0.25) Percent English learners (X2) '(g-ggg) '( 83:11) 1333;) 1332;) Percent elegible for subsidized lunch (X3) '(8-325)" 1333: Percent on public income assistance (X4) 1332;" (3.3:?) Interce ' 693.9" 687.8" 697.6\" 698.6" 702.4" 9 (10.3) (8.5) (5.5) (6.4) (5.4) Summary Statistlcs and Jolnt Tests SER 18.94 14.73 9.54 11.43 9.86 if 0.047 0.465 0.703 0.617 0.718 n 486 486 466 486 486 These regressions were estimated using data on K-8 school districts in California. Heteroskedasticrobust standard errors are given in parentheses under coefcients. The individual coefcient is statistically signicant at the '5% level or "1% significance level using a twosided test. 1. The R2 for the regression in column (1) is: 2. The R2 for the regression in column (2) is: l 3. The R2 for the regression in column (3) is: l 4' The R2 for the regression in column (4) is: l 5. The R2 for the regression in column (5) is: ' (Round your response to three decimal places) Constmct the homoskedasticityonly Fstatistic for testing [33 =4 = 0 in the regression shown in column (5). The homoskedasiicity-only F-statislic for the test is: (Round your response to two decimal places) Is the homoskedasticityonly F-statistic signicant at the 5% level? 0 A. Yes. Q B. No. Test #3 = #4 = 0 in the regression shown in column (5) using the Bonferroni test. Note that the 1% Bonferroni critical value is 2.807. The t-statistic for )93 in the regression in column (5) is: 1 (Round your response to three decimal places) The tstatistic for 4 in the regression in column (5) is: (Round your response to three decimal places) Is the Bonferroni test signicant at the 1% level? The homoskedasticityonly F-statistic for the test is: (Round your response to M0 decimal places) Is the homoskedasticity-only Fstatistic signicant at the 5% level? 0 A. Yes Q B. No. Test [is =4 = 0 in the regression shown in column (5) using the Bonterroni test Note that the 1% Bonierroni critical value is 2,807. The t-statistic for 133 in the regression in column (5) is: ' (Round your response to three decimal places) The tstatistic for F4 in the regression in column (5) is: ' (Round your response to three decimal places) Is the Bonterroni test signicant at the 1% level? O A. Yes. 0 B. No. Constmct a 99% condence interval for 1 for the regression in column (5). The 99% condence interval is: [' (Round your response to three decimal places)
