Answer
(a) See graph.
(b) $y_1 = 1.0333x - 2052.6$, $y _2= 1.9167x - 3826.2$
(c) $31.57$ dollars, $39.78$ dollars.
Work Step by Step
(a) We can make a scatterplot of the data set as shown in the figure.
(b) Using the given data set, we can find the regression lines for each as $y_1 = 1.0333x - 2052.6$ for the residential and $y _2= 1.9167x - 3826.2$ for the transportation.
(c) In year 2017, use the above equations $y_1 = 1.0333\times2017 - 2052.6\approx31.57$ dollars for the residential and $y _2= 1.9167\times2017 - 3826.2\approx39.78$ dollars for the transportation.
