The equation for the least-squares regression line to this data set is .What is the predicted number of total calories for a food item that contains 25 grams of fat?

Use the least squares regression line of this data set to predict a value.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 9The least squares regression line of this data set is:y=0.365x–1.494What rating does this line predict for a pudding cup with 12 grams of sugar?Round your answer to the nearest integer.

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.

Read the following description of a data set.Nate is packing for vacation and is wondering how many books to bring. He wants to make sure he does not run out of reading material, so he looks at his reading journal to see how many books he read on past vacations.For each vacation, he records the vacation's length (in days), x, and how many books he read, y.The least squares regression line of this data set is:y=0.745x–0.044How many books does this line predict Nate would have read on a 13 day vacation?Round your answer to the nearest integer. booksSubmit

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.Rod Diamond is a singer who appeals to an older demographic. For a comedy segment on a late night show, he asked random people on the street how old they were and how many of his songs they could name, if any.Rod noted the age of each person he spoke with, x, and the number of songs each could name, y.The least squares regression line of this data set is:y=0.032x+17.851If a person is 33 years old, how many Rod Diamond songs does this line predict they can name?Round your answer to the nearest integer. songs