Two variables, x and y, are investigated for an association and are found to be strongly correlated with positive correlation. A simple linear regress

Two variables, x and y, are investigated for an association and are found to be strongly correlated with positive correlation. A simple linear regression model is constructed. The regression model can explain 91.8% of variation in the values of y based upon the values of x.Select all the statements that can be reasonably drawn from this analysis:the value of y tends to be greater than the value of xif x is small then it is impossible for y to be very largesmall values of x tend to occur with large values of ysmall values of x tend to occur with small values of yx and y are causally related. Furthermore, due to the positive correlation, larger values in x cause larger values of y to occurthe value of x tends to be greater than the value of yx and y have a strong association. Furthermore, larger values of x tend to occur with larger values of y.

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