Suppose a manager has data on prices and quantities of a product for T number of peri- ods: (P.1).(P2,9)....(pr.ar). To learn about the market demand using these data, the manager runs the following linear regression: = 9+hpe+ where 9 is the intercept, h is the slope, and is the error term. 1.1. The manager wants to find the values of g h that minimize the sum of squared errors. Write the minimization problem 1.2. Derive the first-order conditions. For the rest of this exercise, you will find these first- order conditions helpful. Suppose a manager has data on prices and quantities of a product for T number of peri- ods: (P.1).(P2,9)....(pr.ar). To learn about the market demand using these data, the manager runs the following linear regression: = 9+hpe+ where 9 is the intercept, h is the slope, and is the error term. 1.1. The manager wants to find the values of g h that minimize the sum of squared errors. Write the minimization problem 1.2. Derive the first-order conditions. For the rest of this exercise, you will find these first- order conditions helpful