1- When crops get disease, they produce less yield; look at the following data. Yield (kg) 8.5 8.2 7.8 Disease (%)T 11 15 17 10 25 22 30 45 51 8. 12 28 6.5 6.0. 4.6 2.2 1.0 9.3 8.3 6.9 How answer the following questions: 10.000 How many degrees of freedom are there in this correlation analysis? What is the value of r? -0.980 Is the correlation coefficient positive or negative? Positive Negative (Tick one box) Significant Not Is the correlation significant or non-significant? significant (Tick one box) P 0.05 P 0.01 P<0.001 What is the best estimate of the value of P? Tick one box)
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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