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1) Does correlation equal causation? Does the strength of correlation depend on the direction of the relationship? What is the meaning of a zero correlation? Explain your answers.
2) Three possible correlation distributions are positive, negative and zero. Explain each of these and provide an example of each.
3) Define: correlation coefficient, coefficient of determination, non-linear,and reliability.
4) Explain what ‘least square - a line of best fit' means.
5) What is the regression equation? What are the components and define or explain each component.
How is it possible to utilize a regression analysis in the real world? What are some of its value Responses should be about 150 words
A firm plans to hire 100 employees during the year. It expects that 25 of these employees will obtain graduate degrees within the next 5 years of being hired.
Sample data was collected in a study of calcium supplements and their effects on blood pressure. A placebo group and a calcium group began the study with blood pressure measurement.
What is the probability the crew member earns: a. Between $20.50 and $24.00 per hour? b. More than $24.00 per hour? c. Less than $19.00 per hour?
Experience has shown a company that the cost of delivering a small package within 24 hours is $14.80. The company charges $15.50 for shipment but guarantees to refund the charge if delivery is not made within 24 hours.
Using variables below, (1) mention all research questions that would be replied with a Two Way ANOVA test, (2) make null hypotheses for these questions.
Using one mean t test to determine whether or not to support the claim - hypothesis test that WORKS THE SAME as the z-test
You choose random sample of 50 cans, and mean amount of paint per 1-gallon can is 0.995 gallon. Is there evidence that mean amount is different from 1.0 gallon (use α=0.01).
If you were to accept the null hypothesis, even though the null hypothesis was false, what type of error would you have commited?
What percentage of items will weigh between 6.4 and 8.9 ounces?
State the null and alternative hypothesis if the average electric bill for residents of White Pine Estates exceeds $52.98 per month.
Joe is considering pursuing an MBA degree. He has applied to two different universities. The acceptance rate for applicants with similar qualifications is 25% for University A and 40% for University B.
(a) Write the fitted regression equation, (c) What is your conclusion about the slope.
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