The relationship between the number of grams of carbohydrates in a loaf of bread and the number of calories the loaf contains can be modeled by the equation y = 15x – 25, where I is the number of grams of carbohydrates, and y is the number of calories. According to the model, which statements are correct? Select all that apply. A For every 1.0 gram increase in carbohydrates, the number of calories increases by about 25.0. B. For every 2.0 gram decrease in carbohydrates, the number of calories decreases by about 30.0. C. For every 3.5 gram decrease in carbohydrates, the number of calories decreases by about 87.5 D. For every 7.5 gram increase in carbohydrates, the number of calories increases by about 112.5. E. For every 10.0 gram increase in carbohydrates, the number of calories increases by about 15.0.
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.
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