Bbebiasedtowardzerosothattheimpactofskippedoncolgpaisu

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Unformatted text preview: are less likely skip classes. OLS estimator of the coefficient for skipped will most likely a) be biased away from zero, so that the impact of skipped on colGPA is overestimated. b) be biased toward zero, so that the impact of skipped on colGPA is underestimated. c) be unbiased. d) be biased, but not enough information to determine if the impact is overestimated or underestimated. Questions 3‐5 are based on the following information: Consider the following population model for household spending on food: , where food is food expenditure in dollars, inc is income, educ is the education level of household head, hhsize is the size of a household. 1 3. Suppose a researcher estimates this model, one can a) be certain that the R2 is greater than 1 b) be certain that the R2 is equal to 0 c) be certain that the R2 is between 0 and 1 d) be certain that the R2 is equal to 1 4. Suppose that the variable for food expenditure is measured with errors, so food = food_c + e, where food is the mismeasured variable, fo...
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