Quiz 4A
| Question 1 (1 point) |
| When considering effects on the automobile market, a decrease in auto worker health benefits leads to: |
- a shift in demand.
- movement along the supply curve.
- movement along the demand curve.
- a shift in supply.
|
| Question 2 (1 point) |
| Demand estimation in a controlled environment is possible with: |
- market experiments.
- field studies.
- regression analysis.
- consumer surveys.
|
| Question 3 (1 point) |
| A relation known with certainty is a: |
- statistical relation.
- deterministic relation.
- cross-section relation.
- time-series relation.
|
| Question 4 (1 point) |
| A linear model implies: |
- a constant effect of X on Y.
- constant elasticity.
- a log-linear relation.
- a constant effect of Y on X.
|
| Question 5 (1 point) |
| A multiple regression model necessarily involves: |
- a linear relation.
- more than one X variable.
- a multiplicative relation.
- more than one Y variable.
|
| Question 6 (1 point) |
| To solve any system of equations, the number of unknown variables to be solved for must: |
- exceed the number of known equations.
- equal the number of known equations.
- be less than the number of unknown equations.
- not exceed the number of known equations.
|
| Question 7 (1 point) |
| The demand for most consumer goods is insensitive to changes in: |
- competitor prices.
- the weather.
- advertising.
- the corporate income tax rate.
|
| Question 8 (1 point) |
| Endogenous determinants of demand include: |
- competitor prices.
- the weather.
- interest rates.
- advertising.
|
| Question 9 (1 point) |
| Demand is always reduced by unanticipated change in: |
- technology that reduces production costs.
- foreign competition.
- government regulation that limits profits.
- energy prices that increase production costs.
|
| Question 10 (1 point) |
| Heteroskedasticity is produced by: |
- normally distributed residuals.
- randomly distributed residuals.
- autocorrelation.
- nonconstant variance in the disturbance term.
|
| Question 11 (1 point) |
| A decrease in demand is caused by: |
- an increase in price.
- a decrease in price.
- a decrease in advertising.
- an increase in the price of substitutes.
|
| Question 12 (1 point) |
| The long-run effect on demand of competitor product-development strategies is: |
- less than the short-run effect.
- the same as the short-run effect.
- unrelated to the short-run effect.
- greater than the short-run effect.
|
| Question 13 (1 point) |
| A sample of market data taken at a point in time is a: |
- cross-section.
- statistical series.
- time series.
- population.
|
| Question 14 (1 point) |
| A measure of statistical significance for explained variation is given by the: |
- t statistic.
- coefficient of determination.
- corrected coefficient of determination.
- F statistic.
|
| Question 15 (1 point) |
| Multicollinearity is caused by: |
- high correlation among the X variables.
- a linear XY relation.
- a log-linear XY relation.
- high correlation between Y and at least one X variable.
|
| Question 16 (1 point) |
| When P = $5 - $0.05Q, and Q = 40, the point price elasticity of demand is: |
- -2/3.
- -3/2.
- -8/3.
- -3/8.
|
| Question 17 (1 point) |
| When P = $5 - $0.05Q, and quantity is increased from Q1 = 40 to Q2 = 60, the arc price elasticity of demand is: |
- -1/2.
- -1.
- -4.
- -1/4.
|
| Question 18 (1 point) |
| If a decrease in price causes total revenue to increase, the absolute value of the price elasticity of demand is: |
- greater than zero but less than one.
- equal to one.
- greater than one.
- equal to zero.
|
| Question 19 (1 point) |
| A deterministic relation is: |
- a simultaneous relation.
- an imprecise link between two variables.
- an association that is known with certainty.
- a concurrent association.
|
| Question 20 (1 point) |
| The number of observations beyond the minimum needed to calculate a given regression statistic is called: |
- a measure of the goodness of fit for a multiple regression model.
- degrees of freedom.
- the square of the coefficient of multiple correlation.
- a measure of statistical significance for the share of dependent variable variation explained by the regression model.
|
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by the Contributing Authors.
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