Related questions
Question 3
You wanted to improve the model from question two and have decided to include a new
variable, percentage of English learners (EL PCT).
SUMMARY
OUTPUT
Regression Statistics
Multiple R 0.653017122
R Square 0.426431361
Adjusted R Square 0.423680433
Standard Error 14.46448496
Observations 420
ANOVA
df SS MS F
Regression 2 64864.3011 32432.15055 155.0135989
Residual 417 87245.29254 209.221325
Total 419 152109.5936
Coefficients
Standard
Error t Stat P-value
Intercept 686.0322487 7.411312484
str -1.101295889 0.380278316
el_pct -0.649776777 0.039342549
(a) Is this second model a better or worse model than the one in question 2? Why?
(b) Are all the signs of the variables as expected? State reason.
(c) A colleague of yours believes that English learners is not significant in determining
test scores. Conduct a hypothesis test to prove whether this is true or not assuming
=0.05 i.e myu= 0.05
As question 2 is:
Question 2
The following regression output was obtained. The regression model is Test scores on
student teacher ratio. When your research assistant cut and pasted the results for you, there
were several vital pieces of information missing. See output below:
SUMMARY
OUTPUT
Regression Statistics
Multiple R 0.226362751
R Square (a)
Adjusted R Square 0.048970335
Standard Error 18.5809675
Observations 420
ANOVA
df SS MS F
Regression 1 7794.110041 7794.110041 22.57511055
Residual 418 144315.4836 345.2523531
Total 419 (b)
Coefficients
Standard
Error t Stat P-value
Intercept 698.9329523 9.467491444
str -2.279808287 0.479825567 (c)
Step by stepSolved in 4 steps
- You want to determine if diet impacts body weight. You recruit 60 subjects, assigning 20 each to either one of two dietary interventions or to maintain their normal diet. You measure body weight before and after the intervention and calculate the change in body weight (post minus pre weights). To determine the diet effect on the calculated change in body weight, you would use a .Assume all assumptions are met for a parametric test. Factorial ANOVA One-way repeated measures ANOVA O Factorial repeated measures ANOVA One-way ANOVAarrow_forwardA study was conducted to examine how fear of public speaking varies across year of tertiary education (1st, 2nd or 3rd). Subjects were interviewed at the end of each of year of their tertiary education for fear of public speaking (measured on a 10 point metric scale). Which of the following would be an appropriate statistical test to conduct, which addresses these hypotheses? Group of answer choices: Factorial ANOVA Mixed ANOVA Multiple Regression Within Subjects ANOVA Single Factor ANOVAarrow_forwardOn minitab or excel Calculating the coefficient of determination of a set of data, it was obtained that r^2 = 0.845 . Based on this value, it can be concluded that: Options: The least squares line provided a good fit as a large proportion of the variability in "y" has been explained by the least squares line. The least squares line provided a good fit as a small proportion of the variability in "y" has been explained by the least squares line. The least squares line did not provide a good fit since a small proportion of the variability in "y" has been explained by the least squares line. The least squares line did not provide a good fit since a large proportion of the variability in "y" has been explained by the least squares line.arrow_forward
- The key assumptions of the ANOVA include homogeneity of variance, normality of population distributions and: Independence of observations The DV must be measured on a nominal level The IV must be measured on a continuous level Variability of residualsarrow_forwardWhich best illustrates the distinction between statistical significance and practical importance? Multiple Choice "This year, 360 of 440 statistics students at Oxnard Technical College rented their textbooks, compared with 110 of 330 students last year. This is a significant increase." "Our new manufacturing technique has increased the life of the 80 GB USB AsimoDrive external hard disk significantly, from 240,000 hours to 250,000 hours." "In 50,000 births, the new vaccine reduced the incidence of infant mortality in Morrovia significantly from 14.2 deaths per 1000 births to 10.3 deaths per 1000 births." "The new Sky Penetrator IV business jet’s cruising range has increased significantly from 3,975 miles to 4,000 miles."arrow_forwardIn which of these research designs would you only control who gets an intervention and who does not? Experimental Cross-sectional Quasi-experimental Case-Controlarrow_forward
- A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study? independent-samples t-test single-sample t-test z-test for sample mean related-samples t-testarrow_forwardA researcher is interested in whether an approved supplement enhances the performance of baseball players. The research compares two different baseball teams on the number of home runs they hit for the season. Which test is most appropriate to conduct? Chi-square Independent t-test Correlation/Regression Dependent t-test One-Way ANOVAarrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning 
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman