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Multiple choice questions based on regression.
The following information regarding a dependent variable Y and an independent variable X is provided.
∑X = 16 ∑(Y - )(X - ) = -8
∑Y = 28 ∑(X - )2 = 8
n = 4 SST = 42
SSE = 34
The coefficient of correlation is
1. 0.1905 2. -0.1905 3. 0.4364 4. -0.4364
Find out a 95 percent confidence interval for population mean.
What are the minimum and maximum heights it should use as a basis for its design?
Develop a linear regression equation for the given data and forecast how much money Robert will win if he spends $30.
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
Determine the value of the finite population correction factor if population size is 1000 and the sample size is 300? What is the smallest sample size for which finite population correction factor must be Used?
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.
If a student guesses on each question, what is the probability that the student will pass the test?
If statistically significant, do you think the difference is large enough to be important?
A sample of ten ER patients was conducted to determine their average wait time and to compare this to the target wait time. The hospital wants to make sure that patients do not wait more than 35 minutes. Test following hypotheses using a 95% con..
Compute the standard error of estimate, and interpret its meaning.
Explain how much money do these people make each year. Suppose you read in your local newspaper that 45 officials in student services whioch is earned as an average.
Choice of exponential smoothing constant w has little or no effect on forecast values using exponential smoothing.
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