Read the following description of a data set.Piquant Candy Company is testing a new additive designed to make its hard caramel candies dissolve more slowly. Company scientists gave several taste testers pieces of candy with varying amounts of the additive.The scientists recorded the amount of additive in each piece (in milligrams), x, and how long the taste tester said it took to dissolve completely (in minutes), y.The least squares regression line of this data set is:y=1.148x–92.855If a piece of candy has 92 milligrams of the additive, how long does the line predict it would take to dissolve completely?Round your answer to the nearest integer. minutes

orWatch a videoFind the correlation coefficient, r, of the data described below.Piquant Candy Company is testing a new additive designed to make its hard caramel candies dissolve more slowly. Company scientists gave several taste testers pieces of candy with varying amounts of the additive.The scientists recorded the amount of additive in each piece (in milligrams), x, and how long the taste tester said it took to dissolve completely (in minutes), y.Milligrams Minutes38 540 647 850 665 10Round your answer to the nearest thousandth.

Read the following description of a data set.For a science project, Sue wants to see if a larger body of water has more heat energy than a smaller body of water at the same temperature. She prepared a number of buckets filled with various amounts of water at a fixed temperature and dropped an ice cube of the same size into each one.Sue then recorded the volume of water in each bucket (in milliliters), x, and the amount of time it took for each ice cube to melt (in minutes), y.The least squares regression line of this data set is:y=–0.025x+39.998How much time does this line predict it takes for the ice cube to melt in 738 milliliters of water at the fixed temperature?Round your answer to the nearest thousandth. minutesSubmit

Read the following description of a data set.Nick accidentally left food in his backyard one night and noticed a cat eating it the next morning. Nick likes helping out the neighborhood cats, so he wonders if putting out more food will result in more cats coming to his backyard.Over the next few nights, Nick leaves out different amounts of food (in grams), x, and notes the number of cats in his backyard the following morning, y.The least squares regression line of this data set is:y=0.004x–0.358Complete the following sentence:If Nick leaves out one additional gram of food at night, the least squares regression line predicts more cats will be in his backyard the next morning.

Find the equation for the least squares regression line of the data described below.A food scientist wants to understand how much sugar children like in their desserts. He sets up a study where children taste cups of vanilla pudding with varying sweetness and rate each cup on a scale of 1 to 10, where 10 is excellent.For each tasting, the food scientist writes down the grams of sugar in the pudding cup, x, as well as its rating, y.Grams of sugar Rating10 318 221 924 627 9Round your answers to the nearest thousandth.

Read the following description of a data set.The CEO of McLean's Natural Fruit Juice wants to see whether the company's internal tasters give consistent ratings. She set up a blind taste test in which the tasters rated several samples of fruit juice in the same order, not knowing that two of the samples were actually the same pomegranate-kiwi blend.Each taster rated the samples on a 100-point scale. The CEO recorded the ratings that had been given to the first sample of the pomegranate-kiwi blend, x, and the second, y.The least squares regression line of this data set is:y=0.759x+15.957Complete the following sentence:For each additional point a taster gave the first sample of the pomegranate-kiwi blend, the least squares regression line predicts that he or she would rate the second sample points