2. Given the data with the nutritional content for some bottle of pineapple juice consumed at a certain restaurant, that contains certain number of calories and amount of water added whose maximum value is at most 100 ml. % Water 91.8 90.7 88.9 92.5 90.1 91.8 93.0 87.8 89.6 99.3 Calories 41 36 40 41 37 36 39 46 44 39 a. Find the prediction equation of the regression line for the data using the least squares method. b) Construct the scatter plot of the data and the regression line. c) Use the regression equation to predict the number of calories for a bottle of juice consumed at a certain restaurant whenever the proportion of water added is 92 ml.

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2. Given the data with the nutritional content for some bottle of pineapple juice consumed at a
certain restaurant, that contains certain number of calories and amount of water added whose
maximum value is at most 100 ml.
% Water 91.8 90.7 88.9 92.5 90.1 91.8 93.0 87.8 89.6 99.3
Calories 41 36 40 41 37 36 39 46 44 39
a. Find the prediction equation of the regression line for the data using the least
squares method.
b) Construct the scatter plot of the data and the regression line.
c) Use the regression equation to predict the number of calories for a bottle of juice
consumed at a certain restaurant whenever the proportion of water added is 92 ml.
Transcribed Image Text:2. Given the data with the nutritional content for some bottle of pineapple juice consumed at a certain restaurant, that contains certain number of calories and amount of water added whose maximum value is at most 100 ml. % Water 91.8 90.7 88.9 92.5 90.1 91.8 93.0 87.8 89.6 99.3 Calories 41 36 40 41 37 36 39 46 44 39 a. Find the prediction equation of the regression line for the data using the least squares method. b) Construct the scatter plot of the data and the regression line. c) Use the regression equation to predict the number of calories for a bottle of juice consumed at a certain restaurant whenever the proportion of water added is 92 ml.
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