Response variable of interest is dichotomous
When the response variable of interest is dichotomous rather than continuous, why is it not advisable to fit a standard linear regression model using the probability of success as the outcome?
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What assumptions do you make when using the technique of least squares to determine a population regression equation containing two or more explanatory variables?
Explain how the coefficient of determination and the adjusted R (squared) can be used to help evaluate the fit of a multiple regression model to the observed data.
If you're performing an analysis with a single response and several potential explanatory variables, how would you decide which variable to include in a multiple regression model and which to leave out?
A sample of TBU scores of 50 revealed a mean score of 330 with a standard deviation of 45. What is the 95% confidence interval of the mean, m, of these people? TBU scores distribute normally.
Yielding the sample average of 17 number of service calls as well as sample variance 9. We are interesting in finding out if sample evidence contradict the vice presidents clam at significance level alpha = .05? Determine the parameter of interest?
In an effort to determine the mean annual amount spent per customer for groceries at the particular supermarket, data were collected for a sample of 100 households. The sample showed an average amount of $8,000.
Calculate a 95% confidence interval for the difference in the proportions of patients who left the plan within 1 year relative to their satisfaction reports.
Based upon the data, is the proportion of employees who switch plans significantly higher in 2003? Run the appropriate test at 5% level of significance.
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