Please label each part SUBPART We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show theweights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles.FuelWeightEfficiency268524256027266029279038300025341022364020370025388021390021406019471015 O Part (h)Identify any outliers, using either the graphical or numerical procedure demonstrated in the textbook. (Select all that apply.)no outliers(4710, 15)(2685, 24)O (3700, 25)(2790, 38)(4060, 19)Part (i)The outlier is a hybrid car that runs on gasoline and electric technology, but all other vehicles in the sample have engines that use gasoline only. Explain why it would beappropriate to remove the outlier from the data in this situation.The outlier is creating a curved least squares regression line.The outlier does not lie directly on the line, but it is close.The outlier represents a different population of vehicles compared to the rest.The outlier lies directly on the line, so the error residual (y - ý) is zero.Remove the outlier from the sample data. Find the new correlation coefficient and coefficient of determination. (Round your answers to two decimal places.)correlation coefficientcoefficient of determinationFind the new best fit line. (Round your answers to four decimal places.)ý =X +E Part (j)Compare the correlation coefficients and coefficients of determination before and after removing the outlier, and explain what these numbers indicate about how the modelhas changed.The new linear model is a better fit, because the new correlation coefficient is closer to zero.The first linear model is a better fit, because the first correlation coefficient is closer to zero.The new linear model is a better fit, because the new correlation coefficient is farther from zero.The first linear model is a better fit, because the first correlation coefficient is farther from zero.O O O O o oO O

Name: Please label each part SUBPART We are interested in exploring the rela
Uploaded: 2024-03-20T06:46:03.000Z
Channel: Bartleby
Description: Please label each part SUBPART We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show theweights, in pounds, and fuel efficiency, measured in miles per ga