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Refer to the list below to answer the questions.
X 0 -1 1 1 2
y 2 -2 5 4 6
1. Find an equation of the least squares regression line. Please show your work.
2. Is there a linear correlation between "x" and "y" at the 0.01 significance level? Please justify your answer.
a) What statistical test should be used to analyze these data? b) Identify H0 and Ha for this study. c) Conduct the appropriate analysis d) Should H0 be rejected? What should the researcher conclude?
Fitting of simple linear regression equation - A researcher wishes to determine whether a person's age is related to the number of hours he or she jogs per week.
One normal curve has mean 23 and standard deviation 1, a second normal curve has mean 5 and standard deviation 10. The curve that is more dispersed, or spread out, is
The explanatory variable which is a measure of neighborhood socio-economic status variable RFM. Response variable is percent (%) of bicycle riders that wears a helmet.
What is the total expected annual inventory cost at the optimal order quantity? What is the re-order point?
It is impossible to obtain a standard error less than 2 for any sized sample.
Consider that measurement 2 (M2) in random sample of 1000 controls from the Disease Y study population follows the normal distribution.
What type of research design is the strongest when I what to adopt a new educational program? Using a pre-test and post-test with control group, the previous method but without the control group.
Use a 0.05 significance level to test the claim that the mean speed of all cars is greater than the posted speed limit of 70 mph. Based on the above situation compute the value of the test statistic.
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?
Suppose that you are conducting a survey of customer satisfaction regarding their cellular phone. If you called 11 households selected at random, what is the probability that:
Evaluate true mean delivery time to within 5 minutes at 90% reliability level? Suppose that standard deviation for delivery times is 18.2 minutes.
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