2. Why do the following affect the precision of regression coefficient estimates o The variance of...
O a nominal variable with three or more values O a new regression coefficient 0.5 pts DQuestion 12 The variance inflation factor (VIF) is used to select or remove independent variables to reduce the effects of multicollinearity in a multiple regression equation O True e False D Question 13 0.5 pts If the hypothesis Ho: B1- 0 is rejected, then the sample regression coefficient b1 indicates the change in the predicted value for a unit
Question 19 3 pts The ordinary least squares estimator of a slope coefficient is unbiased means if repeated samples of the same size are taken, on average the OLS estimates will be equal to the true slope parameter O the mean of the sampling distribution of the slope coefficient is zero. O the estimated slope coefficient will always be equal to the true parameter value. the estimated slope coefficient will get closer to the true parameter value as the size...
In a fixed sample size: as the number of independent variables in a regression model increases, the power of the regression decreases or increases? When a potential confounding variable is found to affect the β-coefficient estimate for the variable of interest in a regression model and is therefore added to the model, the coefficient of determination (R2) increases or decreases?
What do the variance, S.E., or standard deviation estimates tell you about your population that the mean does not tell you? Why is it important to report some measure of variation, along with the sample size, whenever you report a calculated mean?
1.Idiosyncratic error is the error that occurs due to _____. a. unobserved factors that affect the dependent variable and change over time b. unobserved factors that affect the dependent variable and do not change over time c. incorrect measurement of an economic variable d. correlation between the independent variables 2.Which of the following is a reason for using independently pooled cross sections? a. To increase the sample size b. To select a sample based on the dependent variable c. To...
1. In simple linear regression analysis, we assume that the variance of the independent variable (X) is equal to the variance of the dependent variable (Y) True False 2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation. True False 3. If n=20 and p=.4, then the mean of the binomial distribution is 8 True False 4. If a population is known to be normally distributed, then it follows that...
QUESTION 3 Which of the following statements describes why multiple regression is often a superior statistical technique over bivariate regression? If done properly, in multiple regression analysis, you get better estimates of the coefficients than you would in a bivariate regression analysis. If done properly, in multiple regression analysis, you get better estimates of the dependent variable than you would in a bivariate regression analysis. If done properly, in multiple regression analysis, you get an improved R-square and adjusted R-...
2. Multiple coefficient of determination Aa Aa Macroeconomics is the study of the economy as a whole. A macroeconomic variable is one that measures a characteristic of the whole economy or one of its large-scale sectors. In forecasting the sales of a product, market researchers frequently use macroeconomic variables in addition to marketing mix variables (marketing mix variables include product, price, place [or distribution], and promotion) A market researcher is analyzing an existing multiple regression model that predicts sales for...
For the next estimate, derive the formula for the variance of the following estimator, assume that they are three independent samples. (10 pts) Xi is a random variable with mean = μi and variance = σ2i P5A2: If three initial samples are taken. With the following results. A o X2+2X2 3X3 Population Sample size Sample average sample variance 1 40 110.1 6.1 2 50 125 7.2 3 60 85 6.4
Question 1: Which of the following would generally cause the variance of the OLS estimator of the slope in a regression model to be larger? 1) smaller variance of the error term 2) a larger sample size 3) smaller variance of the independent variable 4) larger variance of Xi ------------------------------------------------------------------------------------------------------------------------------ Question 2: Which of the following is the best description of the sampling distribution of the OLS estimator under the least squares assumptions? 1) it is a Student's t distribution...