Use the p-value criterion to find the best model for predicting the number of points scored per game by football teams using the accompanying National Football League Data. Does the model make logical sense?E Click the icon to view the National Football League Data.Determine the best multiple regression model. Let X, represent Rushing Yards, let X, represent Passing Yards, let X3 represent Penalties, let X4 represent Interceptions, and let X5 represent Fumbles. Enter the terms of the equation so that the Xy-values are in ascending numeral order by base. Select the correct choicebelow and fill in the answer boxes within your choice.(Type an integer or decimal rounded to three decimal places as needed.)OA Points/Game =DxO B. Points/Game =+Oc. Points/Game =O D. Points/Game =Points/Game =OE. StatCrunchAppletsEditDataStatGraphHelpRowvarlvar2var3var4var5varóV.1Points GameRushing Yards/GamePassing Yards/GamePenalties InterceptionsFumbles25.290.1259.214018416.295.2208.5108165417.2112.3187.811017515.8112.7166.48118516.7114.5175.59814920.983.2214.911416108.23.897.5253.193199925.1118.1232.21171731028.4109.9251.51071931120122.6222.893141221.680.4243.710317111327.299.2274.51161921423.799.8235.7851171528.1106.2256.2702281625.7149.6207.3792031714.178.7198.4104141816.798.8189.6941411922.8164.9178.289152036.8115.4297.1811952123.791.3266.2711332223.3134.2195.880152316.8106.1184.76615-12417.7130.5163.81231812521123.8232.4861112624.6135.1191.2831172725.8127.2182.39730112813.792.3143.6901232924.6101.6244.5622073016.495.7205.897183120.9117.2206.38416123218.8131.4177.21042253320.9116.5218.193143341.2367

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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 table gives the amount of money (in dollars) spent on football by a major university. Letting a represent the number of years since 2011, and letting y represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2011 Dollars spent on football 178,000 The equation of the line of best fit is: Hint 2012 2013 2014 2015 196,000 211,000 222,000 244,000 Predict the amount of money that will be spent on football in the year 2024. Predict the amount of money that will be spent on football in the year 2043. 2016 284,000
Create a scatterplot of the data. Choose the correct graph Identify a characteristic of the data that is ignored by the regression line.
The table gives the amount of money (in dollars) spent on football by a major university. Letting xx represent the number of years since 2008, and letting yy represent the amount of money spent on football, in thousands of dollars, use the regression capabilities of a graphing calculator to find the equation of the line of best fit. Round values off to the nearest hundredth. Then, use your equation to make the following predictions. Year 2008 2009 2010 2011 2012 2013 Dollars spent on football 169,000 197,000 210,000 222,000 245,000 285,000 The equation of the line of best fit is: Hint Predict the amount of money that will be spent on football in the year 2026. $ Predict the amount of money that will be spent on football in the year 2041. $
An admissions counselor is looking to determine an equation that relates the graduate grade point averages of students who are newly admitted to an academic program with their undergraduate GPA, their GRE scores, and the number of years they have been out of college. What is the correct format for a multiple regression equation? Select the correct answer below: yˆ=b0+b1x1+b2x2+b3x3 yˆ=b1x1+b2x2+b3x3 yˆ=b0+b1x1+b2x2+b3x3+b4x4 yˆ=b0+b1x1+b2x2
In order for applicants to work for the foreign-service department, they must take a test in the language of the country where they plan to work. The data below shows the relationship between the number of years that applicants have studied a particular language and the grades they received on the proficiency exam. Find the equation of the regression line for the given data. Number of years, x 4 4 3 6 2 7 3 Grades on test, y 61 68 75 82 73 90 58 93 72 滷 O A. =6.910x+46.261 O B. y = 46.261x+6.910 OC. v=6.910x-46.261 OD. O D. y = 46.261x -6.910 Fi St 5e Assig
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The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
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Range of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂ = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…
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