A group of Maternal and Child Health public health practitioners are interested in the relationship between bacterial vaginosis (BV) and a number of negative health outcomes. Suppose the research team gathers information on a group of participants, and constructs a multiple linear regression model looking at the relationship between BV and depression, controlling for maternal age. The following is a computerized output displaying the results of their analysis. Parameter estimate Standard error t value Pr>t intercept .2186206635 .06635040 3.29 .0010 maternal age -.0046496845 .00221338 -2.10 .0360 depression .1912415 .03151884 6.07 <.0001 Based on the information above, was the research team justified in controlling for maternal age in this population? Also, write out the model in symbols. Round to 3 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.
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A group of Maternal and Child Health public health practitioners are interested in the relationship between bacterial vaginosis (BV) and a number of negative health outcomes. Suppose the research team gathers information on a group of participants, and constructs a multiple linear regression model looking at the relationship between BV and depression, controlling for maternal age. The following is a computerized output displaying the results of their analysis.
| Parameter | estimate | Standard error | t value | Pr>t |
| intercept | .2186206635 | .06635040 | 3.29 | .0010 |
| maternal age | -.0046496845 | .00221338 | -2.10 | .0360 |
| depression | .1912415 | .03151884 | 6.07 | <.0001 |
Based on the information above, was the research team justified in controlling for maternal age in this population? Also, write out the model in symbols. Round to 3 decimal places.
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