1. The independent variable, x, explains the variation in another variable. a. T
ID: 1119663 • Letter: 1
Question
1. The independent variable, x, explains the variation in another variable. a. True b. False 2. In regression analysis, OLS estimation method is employed under a single assumption. a. True b. False and of the linear The sample correlation coefficient, r, indicates both the relationship between the independent and dependent variables. a. pattern - -direction b. error--strength c. strength-direction d. strength--pattern 3· . What is R?? It is coefficient of determination a. b. It is the ratio of SSR to SST c. It is Residual d. Both a and b The values of, (correlation coefficient) range from -1 to +1. a. True b. False 5· In regression, higher values of R2 are more desirable than lower ones because we would like to explain as much of the variation of the dependent variable by the independent variable as possible. a. True b. False 6. 7. In a typical regression model, such as y = a + bteis that x is: a. a dependent variable; b. an independent variable; c. a coefficient of error; d. All of the above. 8. The Total Sum of Squares (SST) measures the total variation in the dependent variable a. True b. FalseExplanation / Answer
1/ True
Explanation: An independent variable causes changes in the other variables. This is why the independent variable is mentioned as an explanatory variable or predictor variable.
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