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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.

Question

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.

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Solution

To predict the rating for a pudding cup with 12 grams of sugar using the least squares regression line, we substitute x = 12 into the equation:

y = 0.365x - 1.494

Substituting x = 12 gives:

y = 0.365(12) - 1.494 = 2.886

Rounding to the nearest integer gives a predicted rating of 3.

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