An agricultural scientist planted alfalfa on several plots of land, identical except for the soil pH. Following are the dry matter yields (in pounds per acre) for each plot. pH 4.6 4.8 5.2 5.4 5.6 5.8 6 Yield 1056 1833 1629 1852 1783 2647 2181 Compute the least-squares line for predicting yield from pH. Round the answers to two decimal places.
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.
An agricultural scientist planted alfalfa on several plots of land, identical except for the soil pH. Following are the dry matter yields (in pounds per acre) for each plot.
|
pH |
4.6 |
4.8 |
5.2 |
5.4 |
5.6 |
5.8 |
6 |
|
Yield |
1056 |
1833 |
1629 |
1852 |
1783 |
2647 |
2181 |
Compute the least-squares line for predicting yield from pH. Round the answers to two decimal places.
y = + x
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