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FORECASTING – Linear Regression General instruction: Solve the following problem as directed. Show your solutions. All computed values should be rounded off to three decimal places. Show your answers clearly. Lizzie wants to open a fashion boutique business. Before selecting a location, she would like to be able to predict the profit in pesos that the store maybe expected to earn per hundred square feet of selling space. She gathers the following data:

FORECASTING – Linear Regression General instruction: Solve the following problem as directed. Show your solutions. All computed values should be rounded off to three decimal places. Show your answers clearly. Lizzie wants to open a fashion boutique business. Before selecting a location, she would like to be able to predict the profit in pesos that the store maybe expected to earn per hundred square feet of selling space. She gathers the following data:

MATLAB: An Introduction with Applications
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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FORECASTING – Linear Regression General instruction: Solve the following problem as directed. Show your solutions. All computed values should be rounded off to three decimal places. Show your answers clearly. Lizzie wants to open a fashion boutique business. Before selecting a location, she would like to be able to predict the profit in pesos that the store maybe expected to earn per hundred square feet of selling space. She gathers the following data: 1. Identify the independent and dependent variables 2. Compute for the correlation coefficient, 3. Based on 2, explain the relationship between the two variables. Discuss the imnlication of this relationship 4. Solve for the intercept and the slope 5. Form the equation of the regression line that describes the relationship between the two variables 6. Predict the profit of the fashion boutique business when the store measures 3800 square feet, Explain the result Store Size Profit (100 sq. ft.) (P 10,000) 35 20 22 15 27 17 16 28 16 12 7 40 22 32 23 b = a =- "Er² -(Ex)° | "Ey-(E») "Ex²-(Ex)'
Transcribed Image Text:FORECASTING – Linear Regression General instruction: Solve the following problem as directed. Show your solutions. All computed values should be rounded off to three decimal places. Show your answers clearly. Lizzie wants to open a fashion boutique business. Before selecting a location, she would like to be able to predict the profit in pesos that the store maybe expected to earn per hundred square feet of selling space. She gathers the following data: 1. Identify the independent and dependent variables 2. Compute for the correlation coefficient, 3. Based on 2, explain the relationship between the two variables. Discuss the imnlication of this relationship 4. Solve for the intercept and the slope 5. Form the equation of the regression line that describes the relationship between the two variables 6. Predict the profit of the fashion boutique business when the store measures 3800 square feet, Explain the result Store Size Profit (100 sq. ft.) (P 10,000) 35 20 22 15 27 17 16 28 16 12 7 40 22 32 23 b = a =- "Er² -(Ex)° | "Ey-(E») "Ex²-(Ex)'
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