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1. Suppose you went to the Bureau of Labor Statistics web site and found several predictors of your salary. State three possible predictors and a simulated multilinear regression equation along with their p-values. What does your p-values tell you about your predictors?
2. How does multilinear regression analysis apply to your profession? Specify the dependent value and the set of predictors. Where would you get the data?
Develop appropriate hypotheses such that rejection of H0 will support the researcher's contention.
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
a) Do a test to see if workers attitudes on this matter have changed using a 90% alpha. b) Explain to management what your findings are and what this suggests about future decisions vs work options.
Suppose we compare two population means, μ 1 - μ 2 . In each case, indicate how μ 1 relates to μ 2 :
1st a confidence interval is constructed without utilizing the finite population correction factor.
Illustrate what is the probability all four calls are infact emergencies. Illustrate what is the probability that three or more calls are not emergencies.
Problems on Sampling Variability and Standard Error and Confidence Intervals
You draw two cards from a standard deck of 52 cards, but before you draw the second card, you put the first one back and reshuffle the deck.
Calculate the population mean and population standard deviation.
The estimated salary range is $4,500, the margin of error should be $100 and the desired level of confidence is 95%.
Here is a scatterplot of average crawling age versus average outdoor temperature six months after birth followed by a plot of the residuals versus average outdoor temperature six months after birth.
Describe what do you mean by terms 'false positive" and " false negative".
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