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In regards to multiple OLS regressions, what does it mean to have a loss of residuals or multicolinearity? What are the consequences?
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- What are the consequences in the regression results if multicollinearity is present in the regression model?Can we compare the linear-log model and the log-log model? Which of the log regression models best fits the data?In a multiple OLS regression. Does correlation between explanitory variables violate assumtion number 4 multicolliniearity? Or is it just for perfect colinearity?
- 1. Can you estimate a regression model for Y and X? 2. What are the assumptions of the model in 1? 3. Do you think that this model is accurate? 4. What are the related hypotheses of 37 5. Discuss and interpret your results. Y 4 4 -1 -2 11 -2 -4 0. 3. 7. 12 -3 -6 7. 14Who Invented Instrumental Variables Regression?In multiple regressions, the correlation coefficient of each independent variable can be measured in addition to the multiple correlation coefficient. How do the values of individual correlation coefficients compare to the value of the multiple correlation coefficient?