The curve that characterizes outcomes of a continuous random variable is called
ID: 2948456 • Letter: T
Question
The curve that characterizes outcomes of a continuous random variable is called a ________. A. cumulative distribution function, c(x) B. probability mass function, p(x) C. continuous random function, r(x) D. probability density function, f(x)
The expected value of a random variable corresponds to the notion of the ________ of a sample.
If a variable is removed from the regression model when the t-statistic is lesser than 1, ________.
A. the standard error will decrease
the p-value will increase
the Adjusted R2 will decrease
the Multiple R will increase
A. the standard error will decrease
B.the p-value will increase
C.the Adjusted R2 will decrease
D.the Multiple R will increase
Explanation / Answer
Answer
Part (a)
The correct answer is option D
i.e
Probability Density Function (pdf), F(x)
Part (b)
Possible values of a sampe
If a variable is removed from the regression model when the t statistics is lesser than is.....
the p value will increase.
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