which one of the following options will be your best guess for the correlation (r) between calories and carbs?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![The scatterplot below shows the relationship between the number of calories and the
amount of carbohydrates (in grams) Starbucks food menu items contain. Since
Starbucks only lists the number of calories on the display items, we are interested in
predicting the amount of carbs a menu item has based on its calorie content.
25
80
20-
20-
60
15
0+......
10
40-
5
-20-
20
200
300
400
500
100
200
300
400
500
-20
20
40
100
-40
Calories
Calories
Residuals
Based on the scatter plot in Question 21,
which one of the following options will be your best guess for the correlation (r)
between calories and carbs?
Or = 1.5
Or= -0.3
Or = 0
Or = 0.6
Carbs (grams)
Residuals](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F55274fe3-251e-4967-a93c-3929cf5a1c5f%2F7a2d8d4a-b1c8-43ef-a050-a3f9c42976a0%2Fgkuyk2_processed.jpeg&w=3840&q=75)
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