How can we use Eviews to tell if a regression suffers from first order autocorrelation and what are the consequences of autocorrelation on the OLS estimator?
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How can we use Eviews to tell if a regression suffers from first order autocorrelation and
what are the consequences of autocorrelation on the OLS estimator?
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- A colleague of yours is completing a final report on the causes of the frequency of cyberbullying. In this report, she is asked to identify the causes that most strongly impacted the frequency of cyberbullying. She conducts an OLS regression. What statistic do you advise her to use in her discussion? Why?what is a confidence coefficinent for a simple linear regression line whoes alpha =0.05 and line is y(hat)=-7.45-10xIf the point representing 64 wins and attendance of 40,786, people per game is removed from the set of data and a new regression analysis is conducted, how would the following be mpacted?
- If a scatterplot is created in excel, and a line of regression is fit along with a derived functional form, what does it mean to describe and interpret them? What conclusions would be made about relationships between two recorded variables?The correlation between first year college GPA and high school GPA is 0.683. If a simple linear regression was conducted to predict first year college GPA from high school GPA what does the correlation tell us about the fit of the model?Explain the concept of Asymptotic Distribution of the OLS Estimatorand t-Statistic in the multi regression model?
- Explain how to determine the variance inflation factor (VIF) for a predictor variable x1 in a regression equation that also contains the predictor variables x2, x3, and x4.Suppose the entering freshmen at a certain college have a mean combined SAT score of 1231 with a standard deviation of 122 In the first semester, these students attained a mean GPA of 2.64, with a standard deviation of 0.53. A scatterplot showed the association to be reasonably linear, and the correlation between SAT score and GPA was 0.47 How do i find the regression line using the equationThere exists a moderate relationship between the variables x and y.if we draw samples of increasing sample size,what can we expect from the sample r value,the regression slope and the p value of the regression or correlation be affected by increasing sample size
- If the absolute value of regression coefficient of a predictor in SLR is more than that of predictor, when a second predictor is added, what attribute describes the relationship between the original variable and the added variable Answer in few lines .not very big answer neededStudy conductes in patients with HIV. Primary outcome is CD4 coubt(measure stage of disease). Lower CD4=more advanced disease. Wqnt to find association between taking vitamins and supplements and CD4 count. Multiple regression analysis done relating CD4 to use of supplements (1=yes 0=no) and to duration of HIV in years. (# of yeara between diagnosis and study date) y=CD4 Count Y=501.41+12.67 supplements -30 23 duration of HIV. A. What is ezpected CD4 count for patients taking supplements who had HIv for 2.5 years? B. Expected CD4 count not takong supplements with HIv at study start date? C. Expected CD4 coubt for patients not taking supplements with HIV for 2.5 years? D. Uf compare 2 patients, 1 HIV for 5 years longer than other, whats expected difference in CD4 count?
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