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Calculate the confidence intervals about a regression line. My data is log transformed and has high R-square value for what is called "power" equation in Excel. My CI's are narrow at the top of the graph and very wide near the bottom. Can I use the "standard" method used to calculate CI about a linear regression curve for the log transformed data and apply it to the power equation? My CI calculation used is
CI = t*SYX*SQRT(1/n+(X-XAVG)^2/SS
When I have a CI envelope that is narrow at top and very wide at the bottom of the regression line what does that mean?
Interestingly, when the R-square value is low the CI plots about the regression line make a much more "palatable" envelope. This may be because both the curves generated from linear and power equations have slopes and similar r-squares.
Scores on the ACT test have a mean of 21.1 and a standard deviation of 4.8. which is relatively better: a score of 1840 on he SAT or a score of 26.0 on the ACT test? why?
Assuming the percentages are based on independant simple random samples of 1,000 first year college students drawn each year.
For the following ANOVA table are the results from treating 4 cultures with 6 observations for each culture. The enzymes are contained in test tubes with differing levels of enzymes applied.
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Probability about 0.2 of suggesting that the person is deceptive. What is the probability that the number classified as deceptive is less than the mean?
Information about accessing the Blackboard Grading Rubric for this assignment is provided below.
We will select a random sample of 8 cigarettes and conduct a hypothesis test at the 10 % level of significance to determine whether the true mean nicotine content of all cigarettes differs from 8.4 mg.
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Compute the value of the test statistic. (Round your answer to 3 decimal places.) value of the test statistic. What is your decision regarding the null hypothesis? Use the .05 significance level.
Forecasters interest rate predictions over the period 1982 1990 were studied to see whether the predictions corresponded to what actually happened.
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