Businesleconomics: Below is the scatterplot, regression line, and corresponding statistics for price (x) \\.rs number sold {)0 data. Demand Data WEE -_VS Darrendr X = Pnce per Item (In dollars) 1 y = Demand (number of items sold] correlation coefficient: r = 0.962 pp-n c regression equation: 1? = 115X + 1574 Number Sold sample size: n = 19 l . . . . . s_ample "13335: " 3 ' 5 a 1\" '3 x = $5.50 y = 823.8 Price per Item (in Iio'ilars} Answer the following questions regarding the relationship between price ()0 and demand (1/). (a) Is there a signicant linear correlation between these variables? 0 Yes ONo (b) What percentage ofie variation in demand can be explained by the linear relation to price? Enter your answer as a percentage with one decimal place. |:|% (c) How many items would you expect to sell if the price was set at $9.00? Round your answer to the nearest whole number. |:| items