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Scatter plot, Correlation coefficient and Regression equation.
Do a complete regression analysis by performing the steps below.
Note: No regression should be done when r is not significant.
a. Draw a scatter plot.
b. Compute the correlation coefficient.
c. State the hypotheses.
d. Test the hypotheses at .
e. Determine the regression line equation (if applicable).
f. Plot the regression line on the scatter plot (if applicable).
g. Summarize the results.
The data below were obtained for the years 1993 through 1998 and indicate the number of fireworks (in millions) used and the related injuries. Predict the number of injuries (provided there is a significant relationship) if 100 million fireworks are used during a given year.
When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n = 100
Use the marginal probabilities of school quality, school cost or convenience, and other to comment on the most important reason for choosing a school.
Evaluate the area under the standard normal curve that lies to the left of z = - 3.49 and simple random sample of size
Create a scatterlpot of P_RFM and P_HELM. If drawing plot by hand, use graph paper to make sure accuracy. Be sure you label axes. After you have created the scatterplot, consider its form and direction. Recognize outliers, if any.
At a = 0.05, what is the test value?
Determine the point estimate? Give the symbol and value.
Set up a null and alternative hypothesis to test whether this sample is falling below expectations.
The City Transit Authority plans to hire 8 new bus drivers. From the group of 100 qualified applicants, of whom 55 are men and 45 are women, 8 names are to be selected by lot. Suppose that Mary and John Lewis are among the 100 qualified applicants..
Based on these results, the proportion of the variation in 1993 winnings that is explained by the average number of putts per round and driving distance
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
How much net profit can John expect (on average) to earn from the store in total over the next five years?
At the .05 level of significance, is there convincing evidence that the number of absences per employee has increased?
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