**Regression Analysis in Marketing**The marketing director at Reeves Wholesale Products is analyzing monthly sales using three independent variables as estimators: regional population, per capita income, and regional unemployment rate. The derived regression equation is:\[\hat{y} = 64,100 + 0.394x_1 + 9.6x_2 - 11,600x_3\]**Note**: In this equation:- $x_1$ represents the regional population.- $x_2$ represents per capita income.- $x_3$ represents the regional unemployment rate.**Questions:**a. **Choose the correct option for the full name of the equation:**- Multiple regression equation- Single linear equation- Single two linear equationb. **Interpret the number 64,100.**- $x_1$ intercept- $x_2$ intercept- $y$-interceptc. **Calculate the estimated monthly sales for a region with:** - Population: 796,000 - Per Capita Income: $6,940 - Unemployment Rate: 6.0%**Estimated monthly sales:***Provide your calculation here.*

It is given that, the number of independent variables is 3.

The director of marketing at Reeves Wholesale Products is studying monthly sales. Three independent variables were selected as estimators of sales: regional population, per capita income, and regional unemployment rate. The regression equation was computed to be (in dollars): ý = 64,100 + 0.394x1 + 9.6x2 – 11,600x3 Note: Here, the variables x1, X2 and x3 refer to regional population, per capita income, and regional unemployment rate respectively. a. Choose the right option for the full name of the eguation: O Multiple regression equation O Single linear equation O Single two linear equation b. Interpret the number 64,100. O x1 intercept O x2 intercept O y-intercept c. What are the estimated monthly sales for a particular region with a population of 796,000, per capita income of $6,940, and an unemployment rate of 6.0%? Estimated monthly sales

The director of marketing at Reeves Wholesale Products is studying monthly sales. Three independent variables were selected as estimators of sales: regional population, per capita income, and regional unemployment rate. The regression equation was computed to be (in dollars): ý = 64,100 + 0.394x1 + 9.6x2 – 11,600x3 Note: Here, the variables x1, X2 and x3 refer to regional population, per capita income, and regional unemployment rate respectively. a. Choose the right option for the full name of the eguation: O Multiple regression equation O Single linear equation O Single two linear equation b. Interpret the number 64,100. O x1 intercept O x2 intercept O y-intercept c. What are the estimated monthly sales for a particular region with a population of 796,000, per capita income of $6,940, and an unemployment rate of 6.0%? Estimated monthly sales

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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