Question: 1.In regression analysis, you predict the value of one variable on the basis of one or more other related variables. The variable being predicted is

1.In regression analysis, you predict the value of one variable on the basis of one or more other related variables. The variable being predicted is called the " Select " ["independent", "discreate", "consistent", "random", "dependent"] ___ variable, and the related variables used to make the prediction are called" Select "["Chi-squred", "independent", "dependent", "normal", "continuous"] ___ variables.

2.Because of the greater uncertainty, the t-statistic will display greater" Select "["variability", "randomness", "mean", "bias"] __ than the z-statistic.

3.The hypothesis testing procedure begins with the assumption that the null hypothesis is "Select " ["true", "unknown", "random", "false"]

1.In regression analysis, you predict the value of one variable on the

X = ( x 1 , * 2 . = > * k ), is a * dimentional Column veeton , then the multivariate Normal distribution its f. ( 24 , x2 2 xx )_[ expl- 2 ( x x)T E ( x-M) ) V ( 27 ) K 151 XERK . when , K= 2 re, in the 2 dimentional now singular case the P. DIF of vector [X,y]' to P ( x , 7 ) = 1 exp ( x - tex ) ( 4- key ) 2 7 6 x 5 4 51 - 12 2 ( 1 - 02 ) - 20 ( 2 -1 x ) (8/7 ) where I is the correlation between x 5x 64 and y where I z By 2

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