Answer: Part A: The graph shows a negative relationship between the temperature of the city and the number of popsicles sold. As the temperature increases, the number of popsicles sold decreases.
Part B: To make the line of best fit, we need to draw a line that comes closest to the data points. We can find the slope and y-intercept of the line by using two of the data points on the graph. Let's choose the points (90, 20) and (40, 10).
Slope = (change in y) / (change in x) = (20 - 10) / (90 - 40) = 0.2
To find the y-intercept, we can use the slope-intercept form of a line: y = mx + b, where m is the slope and b is the y-intercept. Let's use the point (90, 20) and plug in the slope we just found:
20 = 0.2(90) + b
b = 2
Therefore, the approximate slope of the line of best fit is 0.2 and the approximate y-intercept is 2.
Explanation: