1) The ratio of the regression mean square to the error mean square is: (a)Usually assumed to be 0.05 (b)The correlation coefficient (c)The covariance (d)The F ratio 2)The coefficient of determination, R2, ... a. Decreases as higher polynomial terms are included in the model b.Can be greater than 1.0 for transformed variables c.Measures the slope of the regression line d.None of these answers is correct 114 3. Assume you have experimental data that could be analyzed using a paired t-test or an unpaired t-test. If there are 22 degrees of freedom for the unpaired t-test, which value below describes the degrees of freedom for the paired t-test?
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.
1) The ratio of the regression mean square to the error mean square is: (a)Usually assumed to be 0.05
(b)The
(c)The
(d)The F ratio
2)The coefficient of determination, R2, ...
a. Decreases as higher polynomial terms are included in the model
b.Can be greater than 1.0 for transformed variables
c.Measures the slope of the regression line
d.None of these answers is correct 114
3. Assume you have experimental data that could be analyzed using a paired t-test or an unpaired t-test. If there are 22 degrees of freedom for the unpaired t-test, which value below describes the degrees of freedom for the paired t-test?
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The f-statistic, also known as the F-ratio, is defined as the ratio of regression mean square to error mean square. That is,
F-ratio = MSR/MSE
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