Correlation is a statistical tool that shows the association between two variables. Regression, on the other hand, evaluates the relationship between an independent and a dependent variable. Below is a list of multiple-choice questions and answers on Correlation and Regression to understand the topic better. Answer: d
Answer: c
Answer: c
Answer: d
Answer: d
Answer: c
Answer: d
Answer: b
Answer: a
Answer: a
Answer: a
Answer: a
Answer: d
Answer: a
Answer: b Also See:
What is the correlation coefficient for the regression line?Correlation in Linear Regression
The square of the correlation coefficient, r², is a useful value in linear regression. This value represents the fraction of the variation in one variable that may be explained by the other variable.
What is the value of the correlation between X and Y?The correlation of X and Y is the normalized covariance: Corr(X,Y) = Cov(X,Y) / σXσY . The correlation of a pair of random variables is a dimensionless number, ranging between +1 and -1.
How do you find the regression line of Y on X?The line of regression of Y on X is given by Y = a + bX where a and b are unknown constants known as intercept and slope of the equation. This is used to predict the unknown value of variable Y when value of variable X is known.
How do you calculate correlation using regression coefficients?r=√byx⋅bxy.. =√-0.5⋅-1.5.. =√0.75.. |