A manufacturing firm has developed a skills​ test, the scores from which can be used to predict​ workers' production rating factors. (data attached) a. Using POM for​ Windows' least​ squares-linear regression​ module, develop a relationship to forecast production ratings from test scores (round to 3 dec points and use negative signs when necessary) Y = __ + __X where Y=Production rating and X=Test score   b. If a​ worker's test score was 51​, what would be your forecast of the​ worker's production​ rating? ___  (Enter your response as an​ integer.)   c. Comment on the strength of the relationship between the test scores and production ratings. The coefficient of correlation for the​ least-squares regression model is ___ and the coefficient of determination is ___. ​(round to 3 dec​ places.)

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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.