Discussion questions only please 4RFV%52. Graph the regression line on the same axes as your scatterplot.Discussion Questions1.Is the relationship a positive or a negative one? Explain how you can tell and what this means interms of weight and fuel efficiency.TInterpret the slope of the least squares line in terms of weight and fuel efficiency.Predict the fuel efficiency of a vehicle that weighs 4000 pounds. Include units.Should we predict the fuel efficiency of a vehicle that weighs 10000 pounds using the leastsquares line? Explain why or why not?5.Does the line seem to fit the data? Why or why not?6. What percentage of the variation in fuel efficiency is explained by its linear relationship withweight?G Search or type URL2.3.4.(06MacBook ProYHV RO7MUJ*800→I(-09K<O)ɔ.OP<>LEO11? 3E$RFV%65TGLab 12.3 Regression (Fuel Efficiency)Student Learning Outcomes• Calculate and construct the line of best fit between two variables.• Evaluate the relationship between two variables.Collect the Data1. 19 new vehicles were randomly selected. Their weight in pounds and fuel efficiency in miles pergallon were recorded in the following table:Weight (lbs) Fuel Efficiency (mpg)262021.0287523203215344034603570319031503440344040703730378052505424534522001615Table 12.11B21.022.821.418.718.114.324.422.82. Which variable should be the dependent variable, and which should be the independentvariable? Why?3. Construct a scatterplot of weight versus fuel efficiency. Plot the points. Label and scale the axes.Analyze the DataIEnter the data into your calculator. Write the linear equation, rounding to 4 decimal places.19.217.816.417.315.210.410.414.732.433.961. Calculate the following:a. a =b.b =C. T =d. n =e. 9=YMacBook ProH&7NUJ8MI(9KOV*OLP:;+tell[16●1

Since you have posted a question with multiple subparts, we will solve first three subparts for you.…

Discussion Questions 1. Is the relationship a positive or a negative one? Explain how you can tell and what this means in terms of weight and fuel efficiency. 2. Interpret the slope of the least squares line in terms of weight and fuel efficiency. 3. Predict the fuel efficiency of a vehicle that weighs 4000 pounds. Include units.