A monopolist faces demand function of 𝑃 = 10−2𝑄. What is the optimal quantity sold and the corresponding revenue? A. Qua

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A monopolist faces demand function of 𝑃 = 10−2𝑄. What isthe optimal quantity sold and the correspondingrevenue?
A. Quantity is 2.5, total revenue is 12.5.
B. Quantity is 2.5, total revenue is 5.
C. Quantity is 12.5, total revenue is 2.5.
D. Quantity is 5, total revenue is 2.5.
E. Quantity is 12.5, total revenue is 5.
2. Which statement is true with respect to total revenueand marginal revenue?
A. As quantity increases, total revenue increases all the timeand marginal revenue increases at first, then decreases.
B. As quantity increases, total revenue increases all the timeand marginal revenue decreases all the time.
C. As quantity increases, total revenue increases at first, thendecreases. Marginal revenue increases all the time.
D. As quantity increases, total revenue increases at first, thendecreases. Marginal revenue decreases all the time.
E. As quantity increases, total revenue decreases all the time.Marginal revenue is constant.
3. Suppose the regression equation is given by:𝐴𝑊𝑃^=0.01+0.19𝑀𝑎𝑟𝑘𝑒𝑡. Where AWP is the average winning percentageand Market size is in millions of populations. Interpret thefollowing coefficients.
A. With no Market, AWP is at 1%, and an increase in Market sizeby 1 unit will increase AWP by 19%.
B. With no Market, AWP is at 19%, and an increase in Market sizeby 1 million will increase AWP by 1%.
C. With no Market, AWP is at 1%, and an increase in Market sizeby 1 million will increase AWP by 19%.
D. With no Market, AWP is at 1%, and an increase in Market sizeby 1 million will decrease AWP by 19%.
E. With no Market, AWP is at 1million, and an increase in Marketsize by 1 will decrease AWP by 19%.
4. A good regression model has the followingcharacteristics:
A. Needs to have perfect multi-collinearity, high R-squaredvalue, withstands robustness checks, and have strong priorbeliefs.
B. Cannot have perfect multi-collinearity, low R-squared value,withstands robustness checks, and be mindful of prior beliefs.
C. Cannot have perfect multi-collinearity, high R-squared value,withstands robustness checks, and be mindful of prior beliefs.
D. Needs to have perfect multi-collinearity, low R-squaredvalue, withstands robustness checks, and be mindful of priorbeliefs.
E. Cannot have perfect multi-collinearity, high R-squared value,doesn't withstand robustness checks, and be mindful of priorbeliefs.
5. Consider the regression equation:𝑆𝑎𝑙𝑎𝑟𝑦^=60,000+3,500𝑌𝑒𝑎𝑟. Where salary is in dollars, and year isthe number of years of experience. The coefficient 3,500 has at-stat value of 2.78. Which of the following is true?
A. The coefficient is positively related with salary andexplains a lot of the variations.
B. The coefficient is positively related with salary and doesnot explain a lot of the variations.
C. The coefficient is positively related with salary and isstatistically significant.
D. The coefficient is positively related with salary and isstatistically insignificant.
E. The coefficient is negatively related with salary and isstatistically insignificant.