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Choose the correct answer using sum of squared error (SSE).
The sum of squared error (SSE) is
1. a measure of the total variation in Y about the mean.
2. a measure of the total variation in X about the mean.
3. a measure in the variation of Y about the regression line.
4. a measure in the variation of X about the regression line.
Estimate and interpret the p-value of the calculated test statistic above.
Write up your results by using scientifically recognized form.
Projection are form the U.S. National Center for Education Statistics>. Create a multiple bar graph of data, and then explain any trends.
Using this information, calculate Beta risk (probability of Type II error) if the true population mean really is 77.
Explain which indicate that changes in the concentration of carbon dioxide which cause changes in the global temperature
A multiple regression equation for list price of homes in certain community in USA is=170,000 -850 X 1 + 28,000 X 2 , where X 1 signifies age in years and X 2 signifies number of rooms.
Let p1 = 100 and n1 = 500; and p2 = 200 with n2 = 500. Test whether there is a statistical difference between the two proportions at the 5% significance level.
Make a List of type of possible errors. Assume that you were interested in knowing the mean score for a certain quiz in a statistics class.
Illustrate what amount of sales would be required to be a super savings club member. Elucidate amount of sales would be required to be a gold club status.
Determine x-bar and s for this data set. You may suppose the values for bulb life are normally distributed. Use traditional method to make your decision.
The results for college x was a mean of 5 hours and an estimated population variance of 2 hours: for college y, m= 4, s 2 =1.5; and for college Z, M= 6, s 2 =2.5 what should you conclude? Use the .5 level.
It was reported that 20 readers responded and 87% said "no" while 13% said "yes." Recognize 4 major flaws in this survey.
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