Read the following description of a data set.Kristen is a novice cook trying to perfect her baked potato recipe. She decides to put many potatoes in the oven and invites all her friends over. Every few minutes she takes a potato out of the oven and asks some friends to rate its taste on a scale from 1 to 10, where 10 is excellent.For each taste, Kristen writes down the number of minutes the potato spent in the oven, x, as well as its rating from 1 to 10, y.The least squares regression line of this data set is:y=0.133x+3.684Complete the following sentence:For each additional minute a potato spends in the oven, the least squares regression line predicts its rating will increase by ___.
Q. Read the following description of a data set.Kristen is a novice cook trying to perfect her baked potato recipe. She decides to put many potatoes in the oven and invites all her friends over. Every few minutes she takes a potato out of the oven and asks some friends to rate its taste on a scale from 1 to 10, where 10 is excellent.For each taste, Kristen writes down the number of minutes the potato spent in the oven, x, as well as its rating from 1 to 10, y.The least squares regression line of this data set is:y=0.133x+3.684Complete the following sentence:For each additional minute a potato spends in the oven, the least squares regression line predicts its rating will increase by ___.
Identify slope: Identify the slope of the least squares regression line from the given equation y=0.133x+3.684. The slope is the coefficient of x, which in this case is 0.133.
Interpret slope: Interpret the slope. In the context of the problem, the slope of 0.133 means that for each additional minute the potato spends in the oven, the predicted increase in the rating is 0.133 points on the taste scale.