150 125- 100 * 75- 10 Аge (y) 20 30 Dependent variable is: Case Price R-squared = 2.7% Variable Coefficient Constant 92.7650 Age 0.567284 Case Price (dollars)
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.
sis for Case Prices of 36 wines from vineyards in the
the vineyards.a) Does it appear that vineyards in business longer get
higher prices for their wines? Explain.
b) What does this analysis tell us about vineyards in the
rest of the world?
c) Write the regression equation.
d) Explain why that equation is essentially useless.
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