The probability distribution for a continuous random variabl
     The probability distribution for a continuous random variable is represented by a that defines a curve.  The first step in simple regression analysis usually is to construct a  If a researcher selects every k^th item from a population of N items, then she is likely conducting a  random sampling.  The  states that the sample size> n ,is large enough (n >30), the distribution of the sample means is normally distributed regardless of t shape of the population,  is a calculated measure of the degree of linear relationship between two variables. 
  
  Solution
G. Regression Model.
In the simple linear regression: Y = a + b*X, we need to first decide what will be Y and X, that is decide the model.
H. Systematic
Such an algorithm is followed in case of systematic random sampling
I. Central Limit Theorem
The given statement refers to this theorem
J. Correlation
It is the degree of linear association between 2 variables.

