Nafraz Najeemudeen Posted June 30, 2021 Report Share Posted June 30, 2021 QUESTION 1 - Which one of the statements below is NOT true? a) Multicollinearity in multiple regression means that variables correlate with each other strongly. b) Multiple regression expresses the effect of one specific X on Y, while controlling for other Xs. c) A multiple regression analysis with 4 variables requires a data set of roughly 30 observations. QUESTION 2 - Which one of the statements below is NOT true? a) Homoscedasticity is a desired characteristic of OLS regression functions. b) In OLS regression, you may use a nominal (preferably dummy) variable as a dependent variable. c) An R squared of 0.9 tells us that 90% of the variance is explained by the regression function. QUESTION 3 - Which one of the statements below is NOT true? a) Homoscedasticity is a desired characteristic of OLS regression functions. b) In OLS regression, you may use a nominal (preferably dummy) variable as a dependent variable. c) An R squared of 0.9 tells us that 90% of the variance is explained by the regression function. Link to comment Share on other sites More sharing options...

Mayank Gupta Posted July 2, 2021 Report Share Posted July 2, 2021 Hello Nafraz Below the answers Q1 - option c is NOT true Q2 - option b is NOT true Link to comment Share on other sites More sharing options...

Lori Posted July 4, 2021 Report Share Posted July 4, 2021 Question 1: Which one of the following statements is NOT true? A - Outliers can have a substantial impact on the correlation coefficient and should preferably be removed. B - A Correlation coefficient r of -0.2 means that there is a weak negative relationship. C - You can run a correlation analysis with one nominal variable and one parametric variable? Question 2: Assume that the true weight of a unit is 100grams. You measure the weight 6 times with your measurement device. The outcome of the 6 measurements are 90= grams, 89 grams, 90 grams, 91 grams, 90 grams, 90 grams. As such, your measurement device is: A - Precise but not accurate B- Accurate but not precise C - Neither accurate nor precise Link to comment Share on other sites More sharing options...

Nafraz Najeemudeen Posted July 6, 2021 Author Report Share Posted July 6, 2021 Thank you Link to comment Share on other sites More sharing options...

Mayank Gupta Posted July 9, 2021 Report Share Posted July 9, 2021 Hello Lori Below the answers for your questions Q1 - c is not true. Correlation can be run between 2 variable data Q2 - a is correct. Link to comment Share on other sites More sharing options...

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