Help solve this please

1. 19 new vehicles were randomly selected. Their weight in pounds and fuel efficiency in miles per gallon were recorded in the following table: Weight (Ibs) Fuel Efficiency (mpg) 2620 21.0 2875 21.0 2320 22.8 3215 21.4 3440 18.7 3460 18.1 3570 14.3 3190 24.4 3150 22.8 3440 19.2 3440 17.8 4070 16.4 3730 17.3 3780 15.2 5250 10.4 5424 10.4 5345 14.7 2200 32.4 1615 33.9 Table 12.11 2. Which variable should be the dependent variable, and which should be the independent variable? Why? 3. Construct a scatterplot of weight versus fuel efficiency. Plot the points. Label and scale the axes. Analyze the Data Enter the data into your calculator. Write the linear equation, rounding to 4 decimal places. 1. Calculate the following: a, a= b. b= C. r= d. 2. Graph the regression line on the same axes as your scatterplot. 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. 4. Should we predict the fuel efficiency of a vehicle that weighs 10000 pounds using the least squares 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 with weight