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1) Explain how we test independent against dependent variables in a regression analysis? What's the set up?
2) Does a correlation as presented in a regression analysis graph imply an actual casual relationship? For example - can I say with a high degree of confidence "that on every full moon a chimpanzee will scratch itself" and say it was because there was a full moon?
3) How are regression analyses often misused / misinterpreted at work or in the news? Cite an example.
Determine the mode for this distribution. Describe why you can't calculate the mean number of times using data in the table.
Assuming that these are a random sample of all publicly traded companies, construct a 95 % confidence interval for the overall noncompliance proportion.
From her district, consisting of several hundred stores, she selects a random sample of 30 stores. For each store she gathered the following information.
What is your conclusion regarding null hypothesis?
Determine the variance of X? (Illustrate your computation either in Table or in Equation form)
Is there a significant difference the four testing conditions?
Assume the first patient is assigned treatment A, and whenever there is a tie in marginal discrepancy, the next patient is assigned treatment A. Use w0 = 2 and w1 = 1. Show all you work.
For adults 60 years or older, they found a mean daily intake of 721 mg with a standard deviation of 454 mg. Using these values for the mean μ and standard deviation σ for the U.S. population:
Assuming that n = 6 for both samples, calculate each of the sample variances, then calculate the pooled variance. Because the samples are the same size, you should find that the pooled variance is exactly halfway between the two sample variances.
The alternative hypothesis is true. In this case the consumer advocacy group will have, A consumer advocacy group doubts this claim and tests the hypotheses
LSAT scores are normally distributed, with a mean of 150 and s = 10.
You will investigate four different scenarios of population growth also decline in this town. Graph the model as well as investigate it by four different growth models.
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