Scientists measured the annual forest loss (in square kilometers) in Indonesia from 2000–2012. They found the regression line forest loss=7500+(1021×years since 2000)forest loss=7500+(1021×years since 2000) for predicting forest loss in square kilometers from years since 2000. (a) What is the slope of this line? (Enter your answer rounded to a whole number.) (b) If we measured forest loss in square meters per year, what would the slope be? Note that there are 106106 square meters in a square kilometer. (Enter your answer rounded to a whole number.) (c) If we measured forest loss in thousands of square kilometers per year, what would the slope be? (Enter your answer rounded to three 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.
Scientists measured the annual forest loss (in square kilometers) in Indonesia from 2000–2012. They found the regression line
for predicting forest loss in square kilometers from years since 2000.
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