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Question 1:
What is correlation? Does correlation prove causation? Why or why not? Explain and provide examples to support your explanation.
Questions 2:
What are the differences between regression and correlation analysis?
Determine the coefficient of correlation between the two variables. Interpret the value.
The following study was developed by Economist Simon Fass. Fass surveyed a sample population of low-income households in St. Martin. The variables analyzed were monthly income per adult and choice of rental contract for housing.
Based on these data, does it seem that strength of relationship between sales and promotions expenditures is enough to permit using linear regression forecasting model? Describe why?
The director of admissions at a large university advises parents of incoming students about the cost of textbooks during a typical semester.
Elucidate this data use an appropriate statistical test to explain whether the population mean TV "on" time has declined in the past decade.
Based on the sample findings, estimate the true mean of Saturday sales with 90% probability.
If random sample of 9 loads is selected for weight check, determine probability that mean weight of those loads is more than 40.60 tons.
The random variable x, which is the number of occurrences of an event over an interval of ten minutes. It can be assumed that the probability of an occurrence is the same in any two time periods of an equal length. It is known that the mean number..
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Develop the estimated regression line. Jensen expects to use the machine 30 hours per week, develop a 95% prediction interval for the company's annual maintenance expense.
What should the cut-off score be for the interviews? (Round to nearest whole number).
In other words, both variables have the same mean but different standard deviations. Draw rough sketches of the two normal curves on the same graph.
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