When all the actual values of y and the predicted values of y are equal, the standard error of estimate will be:Group of answer choices2.0.0.0.1.0.–1.0.

If the regression model is given as y= 63.3 + .51x , give an estimate of y when x = 25Group of answer choices68.770.576.0565.2

Which of the following is an estimate of the standard error of the mean?Group of answer choicesThe standard deviation of returns divided by the square root of the number of observationsThe average annual rate of return divided by the square root of the number of observationsThe variance of returns divided by the square root of the number of observationsThe variance divided by the number of observations

True or false: When predicting the value of y, given x, we use a value of 1 for the error term, ε.True false question.TrueFalse

Thirty people were randomly selected and information about their working hours (X) and income (Y) for a month was collected. Suppose there is a linear relationship between X and Y. Assume that there is a linear relationship between X and Y. SST is equal to 79960 and SSR is equal to 57789. What is the standard error of the estimate. Round your answer to two decimal places.

Error is the difference between the actual value and Predicted value and the goal is to reduce this difference.TrueFalse