5 (5) WhatsApp X Assignment 2.pdf X Course Hero X + @ File | /Users/kushpatel/Downloads/Assignment%202.pdf Update : WhatsApp 5 WhatsApp DataNote 1 Georgian College:... X Edube Interactive... M Gmail YouTube Maps Team Member Ho... ESPN Home - Netflix Assignment 2.pdf 2/ 6 85% Question 2. An engineer wants to determine how the weight of a car affects gas mileage. The following data represent the weights of various domestic cars and their gas mileages in the city for the 2015 model year. (Using Excel) Car Weight(lb) Miles per Gallon Buick Lacrosse 724 17 Cadillac XTS 4006 18 Chevrolet Cruze 3097 22 Chevrolet Impala 355 19 Chrysler 300 102 19 Dodge Charger 3934 19 Dodge Dart 324 24 Ford Focus 2960 26 Ford Mustang 3530 19 Lincoln MKZ 3823 18 a) Determine which variable is the likely explanatory variable and which is the likely response variable. b) Draw a scatter diagram of the data. (Add the axis title) c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon in the city. (4 decimal) d) Does a linear relation exist between the weight of a car and its miles per gallon in the city? Why? e) Suppose that we add the Ford Fusion Hybrid to the data. A Fusion Hybrid weight 3639 pounds and gets 44 miles per gallon. Redraw the scatter diagram with the Fusion included. f) compute the linear correlation coefficient again with the Fusion included. (4 decimal) g) How did adding this data point affect your result? h) Why does this observation not follow the pattern of the data