1)Please answer the questions and show your work FOR BOTH PARTS in the space provided.The scatterplot below shows the finishing times for the Olympic gold medalist in the men's 100-meterdash for many previous Olympic games. The least squares regression line is also shown.Olympic Gold Medalist - Men's 100-mPart C: What is the y-intercept of the function's graph?What does it mean in context of the 100-meter dash?Dash1110.810.610.410.2109.89.69.4Part D: Note that the gold medalist finishing time for the1940 Olympic games is not included in the scatterplot.Use the model to estimate the gold medalist's finishing20406080100120Year (after 1900)Finishing Time=10.878-0.0106(Years after 1900) time for that year.Finishing Time, in seconds

Regression Analysis: A researcher uses a regression model to determine the association between the…

Answered: 1) Please answer the questions and show…

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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6
Report the equation of the regression line and interpret it in the context of the problem
How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? low moderate strong Would you say the correlation is positive or negative? positive negative (c) Use a calculator to verify that x = 67, x2 = 1265, y = 644, y2 = 93,546, and xy = 10,544. Compute r. (Round your answer to three decimal places.) As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer. Given our value of r, y should…
Exhibit 14-25 You are given the following information about x and y. Independent Variable Dependent Variable 0.321 -0.321 Refer to Exhibit 14-25. The least squares estimate of b₁ (slope) equals -5.78 3 7 1.56 3 6 7 8 6 7 3 8
Yummy Lunch Restaurant needs to decide the most profitable location for their business expansion. Marketing manager plans to use a multiple regression model to achieve their target. His model considers yearly revenue as the dependent variable. He found that number of people within 2KM (People), Mean household income(income), no of competitors and price as explanatory variables of company yearly revenue. The following is the descriptive statistics and regression output from Excel. Revenue People Income Competitors Price Mean 343965.68 5970.26 41522.96 2.8 5.68 Standard Error 5307.89863 139.0845281 582.1376385 0.142857 0.051030203 Median 345166.5 6032 41339.5 3 5.75 Mode #N/A 5917 #N/A 3 6 Standard Deviation 37532.51115 983.47613 4116.334718 1.010153 0.360838027 Sample Variance 1408689393 967225.2984 16944211.51 1.020408 0.130204082 Sum 17198284 298513 2076148…
The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The following data represents the value in 2014 (in $millions) and the annual revenue (in $millions) for the 30 Major League Baseball franchises. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Team Revenue Value Baltimore 245 1000 Boston 370 2100 Chicago White Sox 227 975 Cleveland 207 825 Detroit 254 1125 Houston 175 800 Kansas City 231 700 Los Angeles Angels 304 1300 Minnesota 223 895 New York Yankees 508 3200 Oakland 202 725 Seattle 250 1100 Tampa Bay 188 625 Texas 266 1220 Toronto 226 870 Arizona 211 840 Atlanta 267 1150 Chicago Cubs 302 1800 Cincinnati 227 885 Colorado…
Use the following information to answer the question. The following linear regression model can be used to predict ticket sales at a popular water park. Ticket sales per hour = -631.25 + 11.25(current temperature in °F) What is the predicted number of tickets sold per hour if the temperature is 86°F? Round to the nearest whole ticket. O About 336 tickets O About 252 tickets O About 276 tickets About 301 tickets
Please answer both subparts with explanation . Without using Excel. I will really upvote. Thanks

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