esearchers used weight in Kilograms (Y) as a dependent variable and Lean Body Weight (X1) and Mean Daily Caloric Intake (X2) as independent variables. a. Is the coefficient of Mean Daily Caloric Intake statistically distinguishable from 0? b. Perform a hypothesis test. c. Write the regression equation based on the results d. What is the predicted value of the weight of an obese girl if her lean body weight is 50.0 and mean daily caloric intake is 2000? e. What assumptions must be made in this experiment? Are they satisfied? f. Calculate the R2 value? Interpret it. g. Would you recommend the model? Why or why not?
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.
Researchers used weight in Kilograms (Y) as a dependent variable and Lean Body Weight (X1) and
a. Is the coefficient of Mean Daily Caloric Intake statistically distinguishable from 0?
b. Perform a hypothesis test.
c. Write the regression equation based on the results
d. What is the predicted value of the weight of an obese girl if her lean body weight is 50.0 and mean daily caloric intake is 2000?
e. What assumptions must be made in this experiment? Are they satisfied?
f. Calculate the R2 value? Interpret it.
g. Would you recommend the model? Why or why not?
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