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This quiz: 23 pointi'sj i313 possible This question: 3 pointrjs} possible E Quiz: Project#3 Question1of3 > Submit quiz A federal government agency that is responsible
This quiz: 23 pointi'sj i313 possible This question: 3 pointrjs} possible E Quiz: Project#3 Question1of3 > Submit quiz A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobile manufacturers, and consumers, are highly interested in what the agency's ndings and determinations will be as this will aect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and the vehicle's fuel economy (average miles per gallon (MPGH. Specically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data for analysis in order to support the agency's upcoming discussion with industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 75!] vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size {Gallons}, Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 751] vehicles. StatCrunch Data Set E) A Agency leadership wants to create a simple linear regression model to predict a vehicle's average fuel economy based upon the weight of the vehicle. Create a scatterplot using Vehicle Weight as the independent variable and Average MPG as the dependent variable. Perform a visual analysis of the data: describe the trend, strength and shape of the relationship between these two variables. Choose the correct answer below. - The scatterplot indicates there is a negative, strong, linear relationship between Vehicle Weight and Average MPG. O B. The scatterplot indicates there is a negative, weak, linear relationship between Vehicie Weight and Average MPG. O C- The scatterplot indicates there is a positive, weak, linear relationship between Vehicle Weight and Average MPG. O D- The scatterplot indicates there is a positive, strong, linear relationship between Vehicle Weight and Average MPG. O E- The scatterplot indicates there is no relationship between Vehicle Weight and Average MPG. Include the scatterplot image as part of your answer. Save the image as a .jpg or .png le, then click r'Show Work" and use the "Insert Image" button to upload and save your scatterplot. v @3 Submit quiz E Quiz: Project #3 Question 2 of B This question: 2 pointis) possible A federal govemment agency that is responsible for setting vehicle fuel economy standards for automobiie manufacturers is conducting research in order to update its fuei economy standards for the year 2030. Automobile manufa cturers, and consumers, are highly interested in what the agency's ndings and determinations wiil be as this will aect every vehide in the United States. The federal government agency is very interested in the relationship between the weight of a vehicie and the vehicle's fuel economy (average miies per gatlon (MPG)}. Specically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data tor analysis in order to support the agency's upcoming discussion with industry regarding its proposed 230 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calcuiated by the agency. The research division also coliected the vehicle weight of these T50 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size (Gallons), Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles. StatCrunch Data Set <: agency leadership wants to create a simple linear regression model predict vehicle average fuel economy based upon the weight of vehicle. construct ear using vehieie economy. what is correlation coefficient between and mpg d two decimal places as needed. interpret coelcient this context. isoierusc i . m r iiiii t xe insert formula quiz: pointrgs possible question: pointisj e proiect question submit quiz federal govemment that responsible for setting standards automobile manufacturers conducting research in order update its year consumers are highly interested ndings determinations will be aect every united states. government very relationship vehicie miles per gallon specically. concerned if current trend producing heavier new vehicles continues targets not met. department recently collected data analysis support upcoming discussion with industry regarding proposed standards. from random sample was calculated by agency. division also these t50 randomly sampled vehicles. lii number. type. weight. mpg. tank size engine meet or were statcru nch set simpie vehicle- your model. value slope b three l potntl : _ quiz. prolect questlon pointls smelt qulz economyi specically he support. ysd number type statcrunch us yintercept lllbiuseieeeeelzgg ._ a- x llnseneurmula project point findings affect specifically o d. x2 test independence null hypothesis there no difference efficiency types cars a. all medians equal b. at least one mean differs means other c. different alternative side-by-side boxplots statcrunch. car has highest variability graph do calculate trucks passenger suvs again looking boxplot only without yet doing any calculations: you expect find significant differences because small. small relative amount variation within each yes>
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