The results of the regressions using 200 observation on a variable Y against X are as follows:Coefficient Standard errorintercept 3.62.1slope 8.11.3R square = 49%The percentage of variance in the dependent variable not explained by the regression equals ________.
Answer(s): D
The R-square of the regression measures the amount of variance of the dependent variable explained by the independent variable. This is given to be 49%. Hence, the amount not explained equals 100% - 49% = 51%.
What is the probability of making a Type II error if the null hypothesis is actually true?
The type II error is accepting a null hypothesis when it is actually false. The probability of committing this error is called beta. Therefore the probability of making a type II error when the null is true is zero.
Which of the following is not a valid reason for selecting a sample instead of studying the whole population?
Answer(s): B
Sample results cannot be more accurate since it is based on a subset of the population.
What annual interest rate, compounded annually, will cause an original deposit of $500 to grow to $625, after 3 years?
On the BAII Plus, press 500 PV, 625 +/- FV, 0 PMT, 3 N, then CPT I/Y. On the HP12C, press 500 PV, 625 CHS FV, 0 PMT, 3 n, then press i.
A cumulative frequency distribution on days absent during a calendar year by employees of a manufacturing company is shown below.Days Absent Cumulative Number of Employees0 - 2603 - 5316 - 8149 - 11612 - 142How many employees were never absent?
Answer(s): C
We were given only the number of employees in the 0-2 group. So we do not know how many were never absent since this group includes those who were absent 1 and 2 days.
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