# DAT 565 Practice Week 5 Knowledge Check

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1. If SSR = 3600, SSE = 1200, and SST = 4800, then R2 is
2. If you rerun a regression, omitting a predictor X5, which would be unlikely?
3. Which is not a name often given to an independent variable that takes on just two values (0 or 1) according to whether or not a given characteristic is absent or present?
4. A fitted regression Profit = −570 + 30 Sales (all variables in thousands of dollars) was estimated from a random sample of pharmacies. From this regression, in order to break even (Profit ≥ 0), a pharmacy’s Sales would have to be at least
5. A multiple regression analysis with two independent variables yielded the following results in the ANOVA table: SS(Total) = 798, SS(Regression) = 738, SS(Error) = 60. The multiple correlation coefficient is
6. A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). The regression output is provided below. Some of the information has been omitted.
7. The unexplained sum of squares measures variation in the dependent variable Y about the:
8. A useful guideline in determining the extent of collinearity in a multiple regression model is
9. Which is not a correct way to find the coefficient of determination?
10. Which of the following is not a characteristic of the F-test in a simple regression?

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