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a. What terms describe the fit of a regression equation to the data? What is the practical use of the regression equation in the real world? Explain with some examples.
b. How would you explain the meaning of the correlation coefficient (r)? How or why it is a useful concept in real life? Explain with some examples.
c. What is the importance of the coefficient of determination (r2)? How do you identify outliers in your data? How do they impact your regression equation?
At the start of the study the mean of the group was 24 and the end of the study the mean of the group was 30. The standard deviation of the difference scores was 12.0 and we had 16 subjects.
A random sample obtained from a population has a mean of µ=100 and a standard deviation of σ = 20. The error between the sample mean and the population mean for a sample of n = 16 is 5 points and the error between a sample men and population mean ..
In part b, the sample have greater variability than part a, but the sample sizes are unchanged. how does the larger variability affect the size of the standard error for the sample mean?
Using the 0.10 level of significance, is there evidence that the mean shopping time at the local supermarket is greater than the claimed value of 22 minutes?
Based on the scatter diagram, does there appear to be any relationship between the number of assemblers and production? Explain.
No estimate of the population proportion is available. How large a sample is required?
If the value of the standard normal random variable Z is positive, then the original score is where in relationship to the mean?
Determine the 95% confidence interval for the population mean, based on the sample mean.
A neuropsychologist compare the auditory abilities of blind versus normally sighted rats. He predicted that the visually impaired rats would have better auditory development than normally sighted rats.
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The multiple logistic regression output from fitting this model is given below.
According to a recent survey, 275 of 400 middle-aged Americans said they used the Internet regularly. 140 of 400 senior citizens said they used the Internet regularly.
Does the variability in output appear to differ at the two experience levels? Test the hypotheses at the .05 significance level.
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