subject is linear regression and finding the equation of a straight line that fits best 2.Business A appears to be profitable, while Business Bappears to be failing. With X being the time in monthsand Y being the corresponding profit,X/YX/YBusiness A Business B A) For each business, what is theequation of the straight linethat fits the data "best?"B)At what month will business Bshow a profit of Y=0?3 217/2912/3618 4123 5233 852485 4413 3518/3028/2436 27c) At what month will the profitfrom Business A exceed thatof Business B?

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Answered: 5 A) for each business, what is the…

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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How does utilizing linear regression benefit or help a business?
What's true about the first differences and slope for a linear equation?
Using data from the attatched chart, and the equation stated below, answer questions a,b,and c. linear equation: y=0.078x+2.42 a. Write a linear equation in slope-intercept form that models the data. b. Use the equation from part (a) to project the demand for teachers in 2024. c. Project the year when the demand for teachers will reach 6 million.
In multiple regression, you can have nominal and continuous predictors true or false
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HELP!! PLEASE!!! (Show work) Thank you
TOPIC: Linear Regression please answer, will upvote your solutions.
A teacher wants to form a linear regression equation to predict a student's score on the final based on the number of hours they spent studying for it. Final scores are in percents. y=2x + 60 R-Squared = 0.65 What does the y-intercept mean in terms of the situation? O If a student doesn't study for the final, their score on the final would be 60%. O If they doesn't study for the final their score would be 65%. O The student should study for the final. O A ripe Mango. O If a student doesn't study for the final, their score would be 2%.
Using R-Studio, estimate a regression equation to determine the effect of the real interest rates, the exchange rate and the GDP growth rate on the Merchandise trade (% of GDP). (All codes and regression output should be provided). NOTE: R-Studio should only be used for obtaining the regression output and the regression equation. (i) Write down the regression equation. Year Merchandise trade (% of GDP) Real interest rates (%), GDP growth (annual %) Official exchange rate (per US$). 2000 150.28 10.05 -1.4 182.43 2001 149.12 16.63 2.3 187.32 2002 144.60 13.36 1.1 190.67 2003 146.56 9.81 -0.6 193.88 2004 157.91 7.27 1.6 198.31 2005 162.57 6.42 -2 199.88 2006 62.06 -58.33 5.1 200.19 2007 63.64 5.91 7.2 202.35 2008…
Modified True or False The slope will give the value of the dependent variable when the explanatory variable is zero.
Give an equation for a linear regression model for these data to predict the weight from the fuel capacity, Identify the vanables in your equation. • Justify how well your linear equation fits the model by discussing a scatter plot of the date and the correlation coetlicient in assessing the fit of your linear model. • Use your model to predict the total weight of a small motorcycle that has a tuel capacity of 6 gallons. and discuss the usefulness of this prediction.
Please solve only part d) and part e)

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5 A) for each business, what is the equation of the straight line that fits the data "best?" B)At what month will business B show a profit of Y=0? c) At what month will the profit From Business A exceed that of Business B?