Read the following description of a data set. Researchers at a pharmaceutical company are testing a new drug that regulates blood sugar. In one test, subjects were prescribed a random and safe dose of the drug. Once the drugs were administered, the researchers measured each subject's blood sugar levels before and after a meal.For each subject, the company recorded the given dose (in milligrams), x, and the rise in blood sugar (in milligrams per deciliter), y.The least squares regression line of this data set is: y=−0.004x+28.109 Complete the following sentence: If the dose increased by 1 milligram, the least squares regression line predicts that a subjects' blood sugar level will rise __ milligrams per deciliter less.
Q. Read the following description of a data set. Researchers at a pharmaceutical company are testing a new drug that regulates blood sugar. In one test, subjects were prescribed a random and safe dose of the drug. Once the drugs were administered, the researchers measured each subject's blood sugar levels before and after a meal.For each subject, the company recorded the given dose (in milligrams), x, and the rise in blood sugar (in milligrams per deciliter), y.The least squares regression line of this data set is: y=−0.004x+28.109 Complete the following sentence: If the dose increased by 1 milligram, the least squares regression line predicts that a subjects' blood sugar level will rise __ milligrams per deciliter less.
Identify slope: Identify the slope of the least squares regression line.The equation given is y=−0.004x+28.109. The slope of the least squares regression line is the coefficient of x, which is −0.004.
Interpret slope: Interpret the slope.In the equation y=−0.004x+28.109, x represents the dose of the drug in milligrams, and y represents the rise in blood sugar in milligrams per deciliter. The slope of −0.004 indicates that for each one milligram increase in the dose of the drug, the rise in blood sugar is predicted to decrease by 0.004 milligrams per deciliter.