The sign of each coefficient indicates the direction of the relationship between a predictor variable and the response variable. A positive sign indicates that as the predictor variable increases, the response variable also increases.
What do the estimates of the regression coefficients tell us?
You may determine if each independent variable and the dependent variable have a positive or negative association by looking at the sign of a regression coefficient. A positive coefficient means that the mean of the dependent variable tends to rise when the value of the independent variable rises.
What is predictor and response variable in regression?
The risk factors and confounders are referred to as the predictors, or explanatory or independent variables, whereas the outcome variable is also known as the response or dependent variable. The independent variables are designated by "X" while the dependent variable is denoted by "Y" in regression analysis.
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Answer:
The survey conducted by the Bureau of Labor Statistics today will count Bonnie as not in the labor force .
Explanation:
" not in the labor force " -
The people who are not employed and even are not unemployed are called the " not in the labor force " .
The people who are present in this category are the -
- The people taking care of children ,
- people who are not working but searching for job ,
All of them fall in this category .
Hence , according to the survey , Bonnie is under the category of " not in the labor force " .
Answer:
A positive constant
Explanation:
the hedge ratio cimparez the amount of a position that is hedged to the entire position
It is the detailed record of all the changes in a specific asset, liability, or stockholder's equity item as a result of transaction. Hope this helps!
