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Discuss which analysis of variance should be applied when an experiment has more than one independent variable. Discuss the assumptions and limitations of the analysis of variance in comparison with the t test including a discussion of post hoc tests.
Why is estimating a multiple regression model just as easy as bivariate regression?
When is regression used? What are the assumptions of Linear Regression? What is correlation? How does it differ from regression? What is the interpretation of the correlation coefficient?
Do 1-sample t-test to see if people in Chicago have travelled to fewer states than people nationwide. Utilize the 10% (.10) level of significance.
Given that the pair of hypotheses that correspond to the claim are H0=500. Find the critical value for the hypothesis test.Assume that the level of significance is 0.02.
what is the equation that predicts mortgage amount from interest rate? Compute the slope of the straight line. compute the y-intercept of the straight line.
If we want to estimate the selling price on the basis of age, which variable is the dependent and which is the independent? Draw a scatter diagram.
Nationwide, the average waiting time until a electric utility customer service representative answers a call is 210 seconds. The Gigantic Kilowatt Energy Company randomly sampled 30 calls and found that, on average, they were answered in 183 secon..
A set of 50 data values has a mean of 15 and a variance of 25. Find the standard score of a data value = 30.
How is this relationship different from the bi-variate relationships?
Calculate a 95% confidence interval on the average weight of packaged mustard seed. Explain very carefully to the packaging workers what the 95% confidence interval numbers mean. Include your Excel output. Is there anything you would want to note ..
Use a 0.05 significance level to test the claim that the heights of female supermodels vary less than the heights of women in general. The standard deviation of heights of the population of women is 2.5 in.
How large a sample should you take if you want to be 95% confident of the results and you want the error of the confidence interval to be no more than .05?
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