Dasm Kavding. sales manager of Gullo Arenas, is checking to see ir there ki any relationstip between promotional costs and ticket revenues at the sports stadium. She obtains the following data for the past 9 months: She estimates the following regresion equatian. Ticket revenues = $43 , 814 + ( $3 , 40 ? Promotional costs) (Clek the icon to view the data.) Read the reguitements Requirement 1. Draw the regression line and evaluate it using the citteria of economic plausitility. goodness of fit, and slope of the regression ine Begin by platting the regression line using April and December's advertising cost levels, then tound the monthly revenues to the nearest increment of S100. (Eniarge the graph and use the line button displayed below to draw the graph.) Data table Requirements 1. Draw the regression line and evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line. 2. Use the high-low method to compute the function relating promotional costs and revenues. 3. Using (a) the regression equation and (b) the high-low equation, what is the increase in revenues for each $10 , 000 spent on promotional within the relevant range? Which method should Dawn use to predict the effect of promotional costs on revenues? Explain briefly. Click the graph, choose a tool in the palette and fol