and (b) below. yovermiment el Dioyees and federal government employees for 8 years. The equation of the regression line is y = 1.494x-88.587. Complete parts (a) Average Weekly Wages (state), x Average Weekly Wages (federal), y 760 769 795 801 842 881 928 935 998 1047 1101 1156 1208 1244 1273 1293 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.)
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.
![and (b) below.
ui stale goverment efmployees and federal government employees for 8 years. The equation of the regression line is y = 1.494x - 88.587, Complete parts (a)
Average Weekly Wages (state), x
Average Weekly Wages (federal), y
760
769
795
801
842
998
1047
1101
881
928
935
1156
1208
(a) Find the coefficient of determination and interpret the result.
1244
1273
1293
(Round to three decimal places as needed.)
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