Part 1 Enjoying a beverage at Starbucks A lot of nutritional information is available for the foods and beverages we consume How exactly do the ingredients in food and beverages relate to each other Let's examine this by focusing on the caloric and carbohydrate content of a random sample of Starbucks' beverages The number of calories and the number of grams of carbohydrates were recorded for a random sample of 50 different beverages from Starbucks This data is shown in the scatterplot below When a regression equation was constructed in order to predict grams of carbohydrates based on number of calories, the equation was as follows Predicted grams of carbohydrates 1 80 0 16 (number of calories) The correlation between number of calories and grams of carbohydrates is r 0 93 Use the information above to answer Questions 1 through 6 From the scatterplot and the value of r , we would describe the relationship between grams of carbohydrates and number of calories as having a direction that is and strength that is Since we are attempting to use number of calories to predict grams of carbohydrates, we'd call number of calories a(n) variable and grams of carbohydrates a(n) variable Consider the numbers 1 80 and 0 16 in the regression equation We call the number 1 80 a(n) and the number 0 16 a(n) Lab13 Correlation and Regression au22 1 125 A View Zoom Add Page Insert Table Chart Text Shape Media Comment Collaborate Format Document Part 1 Enjoying a beverage at Starbucks A lot of nutritional information is available for the foods and beverages we consume How exactly do the ingredients in food and beverages relate to each other Let's examine this by focusing on the caloric and carbohydrate content of a random sample of Starbucks' beverages The number of calories and the number of grams of carbohydrates were recorded for a random sample of 50 different beverages from Starbucks This data is shown in the scatterplot below When a regression equation was constructed in order to predict grams of carbohydrates based on number of calories, the equation was as follows Predicted grams of carbohydrates 1 80 0 16 (number of calories) The correlation between number of calories and grams of carbohydrates is r 0 93 Nothing selected Select an object or text to format 8 8 Carbohydrates (in grams) 200 300 400 500 Calories Use the information above to answer Questions 1 through 6 1 From the scatterplot and the value of r, we would describe the relationship between grams of carbohydrates and number of calories as having a direction that is and strength that is

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Part 1: Enjoying a beverage at Starbucks A lot of nutritional information is available for the foods and beverages we consume. How exactly do the

Part 1: Enjoying a beverage at Starbucks

A lot of nutritional information is available for the foods and beverages we consume. How exactly do the ingredients in food and beverages relate to each other? Let's examine this by focusing on the caloric and carbohydrate content of a random sample of Starbucks' beverages.

The number of calories and the number of grams of carbohydrates were recorded for a random sample of 50 different beverages from Starbucks. This data is shown in the scatterplot below. When a regression equation was constructed in order to predict grams of carbohydrates based on number of calories, the equation was as follows:

Predicted grams of carbohydrates = 1.80 + 0.16 (number of calories)

The correlation between number of calories and grams of carbohydrates is r = 0.93

Use the information above to answer Questions 1 through 6.

From the scatterplot and the value of r, we would describe the relationship between grams of carbohydrates and number of calories as having a direction that is __________________ and strength that is __________________.

Since we are attempting to use number of calories to predict grams of carbohydrates, we'd call number of calories a(n) __________________ variable and grams of carbohydrates a(n) __________________ variable.

Consider the numbers 1.80 and 0.16 in the regression equation. We call the number 1.80 a(n) __________________________ and the number 0.16 a(n) _____________________.

... Lab13_Correlation_and_Regression_au22-1 125% [+ A View Zoom Add Page Insert Table Chart Text Shape Media Comment Collaborate Format Document Part 1: Enjoying a beverage at Starbucks A lot of nutritional information is available for the foods and beverages we consume. How exactly do the ingredients in food and beverages relate to each other? Let's examine this by focusing on the caloric and carbohydrate content of a random sample of Starbucks' beverages. The number of calories and the number of grams of carbohydrates were recorded for a random sample of 50 different beverages from Starbucks. This data is shown in the scatterplot below. When a regression equation was constructed in order to predict grams of carbohydrates based on number of calories, the equation was as follows: Predicted grams of carbohydrates = 1.80 + 0.16 (number of calories) The correlation between number of calories and grams of carbohydrates is r = 0.93 Nothing selected. Select an object or text to format. 8 8 Carbohydrates (in grams) 200 300 400 500 Calories Use the information above to answer Questions 1 through 6. 1. From the scatterplot and the value of r, we would describe the relationship between grams of carbohydrates and number of calories as having a direction that is and strength that is