An analyst calculates the following metrics about a sample of paired observations of a dependent variable Y and an independent variable X: Variance of X 9 Variance of Y 15 Covariance of Y and X 12 can anyone explain Based on the sample, the slope coefficient of the simple linear regression of Y to X is closest to: 0.80. 1.03. 1.33.
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Please explain If a random variable X is normally distributed with a mean of 2 and it is known that exactly 2.5% of observations fall above 5, the variance of X is closest to: 1.5. 2.3. 3.3.
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a perpetual preferred stock mates it’s first quarterly dividend payment of $2.0 in five quarters . If required annual rate of return is 6% compounded quarterly, the stocks present value is closest to a. $31 b.$126 c. $133 i could not understand it’s timeline