Year, x 1 2 3 4 5 Average Score, y 437 439 429 431 427 ) Determine an equation of the least-squares line for these data. (Round your numerical values to one decimal place.) )Draw a scatter diagram and the least-squares line for these data. y y 445 445 445 445 440 440 440 440 435 2 435 435 435 2 430 430 430 430 425 425 425 425 420 420 420 420 0415 00415 O 0415! 0 0415 )Use the result obtained in part (a) to predict the average SAT verbal score of high school seniors 2 years from now (x = 7). (Round your answer to the nearest whole number.)
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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