Price-Demand Data of a large packet of Penne pasta Price (S) Demand 2180 2020 1980 1900 11 13 15 17 You are required to build a linear model that predicts Demand based on Price using the formula Yax Calculate Intercept
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.
![Price-Demand Data of a large packet of Penne pasta
Price ($)
Demand
11
2180
2020
1980
13
15
17
1900
You are required to build a linear model that predicts Demand based on Price using the formula Ya bx.
Calculate Intercept](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1d944276-1f80-4a19-9a8e-10661b42c8bc%2Fc4060260-d188-467d-92df-cfef43abb8de%2Fb0juen_processed.jpeg&w=3840&q=75)
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