variable correlation

There is a linear relationship between the dependent variable and the independent variables. This is called the ________ assumption. The independent variables are not correlated. This is called the _______ assumption. => nonmulticolinearity, linearity or line..

Which of the following statement(s) is/are true? I. Correlation is used to determine the existence of a relationship between variables. II. Correlation is used to describe the type of relationship between variables. III. Regression is used to determine the ex..

Which of the following statement(s) is/are true? I. The multiple correlation coefficient denoted by R takes into account all the independent variables and can be computed by using the values of the individual correlation coefficients. II. R can range from - 1 to + 1. I..

The formula for the multiple correlation coefficient when there are only two independent variables using r yx 1 , r yx 2 and r x 1 x 2 is => II or III or I or IV..

The formula for the F test used to test the significance of the multiple correlation coefficient R using n the number of data sets and k the number of independent variables and d.f. N = n - k , d.f. D = n - k - 1 is => R 2 ( n - k ) 1 - R 2 ( n - k - 1 ) or 1 - R 2 ( n - k ) R 2..

Types of events Measures of central tendency/dispersion, quartiles, interquartiles Permutations and combinations Methods of data representation Statistical experiments (more than one variable) Correlation and causatio..

Probability problems with finite sample spaces Conditional probability Discrete/continuous random variables Mean, variance of discrete random variable Standard distributions Mean, standard deviation of normally distributed random variable Central limit theorem Line of b..