We will be glad to help and assist you in finding the crossword clues for the following clue: Varsity athlete is depressed (4).
looking at this crossword definition, it has 32 letters.
for better and easier way of searching the for a crossword clue, try using the search term “Varsity athlete is depressed (4) crossword” or “Varsity athlete is depressed (4) crossword clue” while searching and trying to find help in finishing your crosswords. Here are the possible answers for Varsity athlete is depressed (4).
We hope you found what you needed!
If you are still unsure with some definitions, don’t hesitate to search for them here in our site using the search box on top.
Possible Answers:
BLUE.
Last seen on: Metro Cryptic Crossword Clues Monday, 4 December 2023
Random information on the term “BLUE”:
In statistics, linear regression is a linear approach for modelling a predictive relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables), which are measured without error. The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.If the explanatory variables are measured with error then errors-in-variables models are required, also known as measurement error models.
In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, the conditional mean of the response given the values of the explanatory variables (or predictors) is assumed to be an affine function of those values; less commonly, the conditional median or some other quantile is used. Like all forms of regression analysis, linear regression focuses on the conditional probability distribution of the response given the values of the predictors, rather than on the joint probability distribution of all of these variables, which is the domain of multivariate analysis.