Homework Answers
Here' the answer to the question. Please get back to me in case you've doubts.
In the question there are 2 tables. We will refer to the 2nd table on "Correlation" to answer all questions.
4.
The correlation is basically the "Pearson Correlation " between Age of the player" and the "Player Body Mass".
It is as per the "Correlations" table : -0.061
Now, for the whether the value is significant or not, lets look at the Sig(2-tailed) value.
This is 0.788, i.e. more than .05. This means that the correlation is NOT significant
5.
We conclude that the correlation of -0.061 ,and the Sig(2-tailed) or p-value is 0.788. These 2 facts indicate that :
> the correlation is not strong, it is weak. In fact it is so less than we can confidently say that there is NO correlation
between the two variables.
> the correlation is not statistically significant
> the correlation is slightly negative in magnitude
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1.Which variables are statistically significant at the 5% level? 2.Which variables are statistically significant at the...
1.Which variables are statistically significant at the 5%
level?
2.Which variables are statistically significant at the 10%
level?
3.Which variables are insignificant?
4.Please present the correlation matrix of the independent
variables.
5.Please run the White test for heteroskedasticity, with
cross-products AND PRESENT YOUR RESULTS. Please explain whether the
test is significant or not.
6.If the White test is significant, please present the
heteroskedasticity-consistent White regression results.
7.Can you test this model for autocorrelation? Why of why not?
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What can you conclude from these results? Is George’s hypothesis
supported?
George is studying the aging population in the U.S. and has the following hypothesis: Older people are more likely to support having a boss of age 70 than younger people are. George gathered survey data and tested his hypothesis in SPSS. He used a variable about people's view on having a 70-year old boss which ranged from 1 to 10, where 1 means a 70-year old boss is completely...
1.Which variables are statistically significant at the 5%
level?
2.Which variables are statistically significant at the 10%
level?
3.Which variables are insignificant?
4.Please present the correlation matrix of the independent
variables.
5.Please run the White test for heteroskedasticity, with
cross-products AND PRESENT YOUR RESULTS. Please explain whether the
test is significant or not.
6.If the White test is significant, please present the
heteroskedasticity-consistent White regression results.
7.Can you test this model for autocorrelation? Why of why not?
If you do,...
QUESTION 6 For this question, you should load the R library wooldridge, first. This can be done by : library(wooldridge). Then import "cps91" to answer the question. Question : You would like to estimate the marginal effects of age, education, experience on hourly wage. The variables are labeled as age, educ, exper, and hwage respectively. What would be the regression equation you would estimate? Olwage = Bo +Bleduc +Bzexper+Bzage + u; Ohrwage = Be + Bleduc +Bzexper+B3age + u; Ohrwage...
a va ls a experimeital or observational study! Explain (b) Can we conclude that student mentors were more effective in inspiring higher g better class attendance than faculty mentors? Why or why not? 4. A researcher was interested in the effects of work (iob outside of school) on student perto The researcher is the friend of a coach and simply asked all athletes how many ho they work and their GPAs. Descriptive statistics showed that when the number o was...
help, thank you
Do college students enjoy playing sports more than watching sports? A researcher randomly selected ten college students and asked them to rate playing sports and watching sports on a scale from 1 to 10 with 1 meaning they have no interest and 10 meaning they absolutely love it. The results of the study are shown below. Playing Vs. Watching Sports Play 8 10 4 6 5 10 6 10 4 2 Watch 9 8 5 5 3...
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Please answer questions 4 and 5 only !!!
thank you
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