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Data are provided here with descriptive statistics, a correlation coefficient, and a regression equation: r 0.52, Y^= 2.643 + 0.469(X).
Using this information, compute the following estimates of prediction error:
a. Calculate the sum of squared error for the mean, SStotal.
b. Now, using the regression equation provided, calculate the sum of squared error for the regression equation, SSerror.
c. Using your work, calculate the proportionate reduction in error for these data.
d. Check that this calculation of r2 equals the square of the correlation coefficient..
Estimate the population proportion p of commuters from the two islands who would prefer the ferry service. Construct a 95% confidence interval for p.
the kamp family has twins rob and rachel. both rob and rachel graduated from college two years ago and each is now
Let the null hypothesis be the landlord association claim and the alternative hypothesis be the housing authority claim. Doe the data support the landlord's association claim? What would you report to the housing authority?
In rectangular coordinate system, determine the distance between the points (-4,1) and (8,6).
suppose a bar buys 10 of these sony tvs what is the probability that the average life time of the bar's tv is less than 19,650 hours.
Comment on any problems you see with the use of the mean and standard deviation as summary statistics.- How well do you think the Normal model will work on these data? Explain.
Obtain a 95% con?dence interval estimate of the mean recovery. What assumptions do we need to make? Test for these assumptions.
thirty-three percent of all liquid crystal displays lcds are manufactured by samsung. what is the probability that in a
You have 4 groups that you are trying to find if there is a difference in any of the population means. In each group there are 7 observations. The given level of significance is an alpha of .005. Your MSA is 6,200 and your MSW is 1,000. Will you r..
Consider the data for a three-group MANOVA with two dependent variables. Run the MANOVA on SPSS. Is it significant at the .05 level? Examine the univariate F's at the .05 level. Are any of them significant? Explain this situation.
State the critical values for testing and what is the probability that this decision strategy will result in a Type I error?
Make a scatterplot showing the connection between average verbal SAT (y) and the percent of graduates who took the SAT in a state (x). Describe the relationship between these two variables.
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