Read the following description of a data set.An opera company is planning its repertory for next season. To help choose which operas to include, a company employee looked at the ticket sales data from last season.The employee noted the running time (in hours), x, and the total number of tickets sold, y, for the various operas that were performed.The least squares regression line of this data set is:y=−1,011.138x+6,626.238Complete the following sentence:The least squares regression line predicts that, for each additional hour of running time, an opera would have sold __ fewer tickets. Get tutor helpRead the following description of a data set.Terrell is an aspiring journalist who writes a music blog. In his latest post, he examined how critical acclaim and commercial success were related for recently released albums. To judge critical acclaim, he looked up the albums on a site that combines ratings from multiple critics into a single number from 0 to 100.Terrell recorded the score, x, and the sales, y, of each album.The least squares regression line of this data set is:y=1,027.861x+6,906.271Complete the following sentence:For each additional point in an album's score, the least squares regression line predicts that its sales would increase by ___. Get tutor help