The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 4040 inches. Is the result close to the actual weight of 352352 pounds? Use a significance level of 0.05. Chest size (inches) 4141 5454 4444 5555 3939 5151 Weight (pounds) 328328 528528 418418 580580 296296 503503 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? ModifyingAbove y with caretyequals=nothingplus+nothingx (Round to one decimal place as needed.)
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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Chest size (inches)
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4141
|
5454
|
4444
|
5555
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3939
|
5151
|
|
|---|---|---|---|---|---|---|---|
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Weight (pounds)
|
328328
|
528528
|
418418
|
580580
|
296296
|
503503
|
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