### Analysis of Price-Demand and Production Cost Data for Yaster Outfitters**Overview:**Yaster Outfitters manufactures and sells extreme-cold sleeping bags. The table below showcases the data of their price-demand and total cost analysis, where:- $ p $ represents the wholesale price (in dollars) of a sleeping bag for a weekly demand of $ x $ sleeping bags.- $ C $ denotes the total cost (in dollars) of producing $ x $ sleeping bags.**Data Table:**| x (sleeping bags) | p ($) | C ($) ||-------------------|-------|---------|| 95 | 240 | 13,000 || 120 | 235 | 14,300 || 180 | 155 | 18,500 || 220 | 50 | 21,000 |This dataset serves as a basis to create regression models to answer various analytical questions regarding price, demand, and production costs.### Price ModelTo determine the relationship between the price and the demand for sleeping bags, we will develop a quadratic regression equation based on the given data. The independent variable will be $ x $ (number of sleeping bags).**Quadratic Regression Model Equation:**\[ p = a + bx + cx^2 \]**Instructions:**- **Round $ a $ to the nearest integer.**- **Round $ b $ to two decimal places.**- **Round $ c $ to four decimal places.****Objective:**Use this price model equation to answer the following questions:**Questions:**1. Calculate the predicted price for a given demand.2. Analyze how changes in demand affect the wholesale price.Utilize the provided data and the quadratic regression model to perform detailed analytical calculations and derive meaningful insights for decision-making at Yaster Outfitters.

x(Sleeping bags)p($)C($)952401300012023514300180155185002205021000

Answered: Yaster Outfitters manufactures and…

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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The local coffee shop keeps track of how much coffee they sell versus the temperature on that day, here are their figures: Sales in Php 1651 1757 1437 1525 1349 1231 Temp in Celsius 21.6 22.6 25 27.3 29.8 30.1 Suppose you want to create a regression equation that will predict the total sales in Php using the temperature of the day in Celcius, what is the total sales for the day in Php if the temperature is 31.5? Round your answers to the nearest hundredths.
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Solve the following using excel form
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