In order to determine the relationship between the number of units sold of a company's product (y) in 9cities with their major competitor's price (*1) in dollars, and the number of stores (r2) the competitor hasin each city, the following data were collected.CompetitorCompetitorUnits soldPriceStores5503535453535404060040260044351035570394650451615453Generate a linear multiple regression output for the data.a) Report the regression coefficients accurate to 3 decimal places:ŷ=b) Report the coefficient of determination accurate to 3 decimal places:R

Given: Number of units sold y = 550 , 545, 540, 600, 600, 510, 570, 650, 615 Competitor price x1=…

In order to determine the relationship between the number of units sold of a company's product (y) in 9 cities with their major competitor's price (x1) in dollars, and the number of stores (x2) the competitor has in each city, the following data were collected. Competitor Price Competitor Stores Units sold 550 35 3 545 35 3 540 40 600 40 600 44 3 510 35 570 39 650 45 1 615 45 3 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: b) Report the coefficient of determination accurate to 3 decimal places: R =

In order to determine the relationship between the number of units sold of a company's product (y) in 9 cities with their major competitor's price (x1) in dollars, and the number of stores (x2) the competitor has in each city, the following data were collected. Competitor Price Competitor Stores Units sold 550 35 3 545 35 3 540 40 600 40 600 44 3 510 35 570 39 650 45 1 615 45 3 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: b) Report the coefficient of determination accurate to 3 decimal places: R =

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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Consumers are often interested in the fuel efficiency of the vehicles they choose to buy, so much so that they will research the various models they consider buying. Fuel efficiency can depend on a variety of variables. In this analysis, there are 73 automobiles that are popular with consumers. A regression analysis has been performed; the dependent variable is CityMPG (EPA miles per gallon in city driving), and independent variables are Length (vehicle length in inches), Width (vehicle width in inches), Weight (vehicle weight in pounds), and ManTran (1 if manual shift transmission, 0 otherwise). The level of significance is 0.05. Use the following MegaStat output to answer questions about this regression analysis. a. State the regression equation. b. How would CityMPG be affected if the width of a vehicle increased by an inch? c. Estimate the CityMPG for a vehicle with a length of 190 inches, a width of 75 inches, a weight of 4100 pounds, and a manual. Round your answer to the nearest…
ABC, Inc., sells tea products to various customers. In recent years, profits have been declining. The CFO of the company investigated the reasons for the profit decline and performed regression analysis for sales and costs. She determined that sales depend on product price, delivery speed, customer services, and marketing expenses. She also determined that total costs consist of variable costs of $25 per unit and fixed costs of $56,000. Marketing expenses have a coefficient of determination of 75% related sales.Question 1:1. Define regression analysis, simple regression, and multiple regression. Identify one example of each in this scenario.
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ABC, Inc., sells tea products to various customers. In recent years, profits have been declining. The CFO of the company investigated the reasons for the profit decline and performed regression analysis for sales and costs. She determined that sales depend on product price, delivery speed, customer services, and marketing expenses. She also determined that total costs consist of variable costs of $25 per unit and fixed costs of $56,000. Marketing expenses have a coefficient of determination of 75% related sales.Question: List two advantages and two limitations of regression analysis.
The basic hypothesis is that people who play sports are more likely than others to watch sport on TV. Your first task is to crosstabulate the data involving the playing and watching of sports and to determine the direction and strength of that relationship. Write out your findings about this basic relationship. Your next task is to determine the direction and strength of the partial relationships when you control for the gender of individuals.
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